Ettore Stella

Principal Investigator

Development of methodologies, technologies and systems for designing intelligent agents which can work autonomously or cooperate with human operators for making decisions in different fields of application.

Vision lab

The objective of the project “Sensing, Communication and Computational Intelligence” is to develop methodologies, technologies and systems for designing intelligent agents which, through acquisition, transmission, processing, analysis and interpretation of multi-sensory data, can work autonomously or cooperate with human operators for making decisions in different fields of application.
The cultural framework of the project involves the following issues:

• Data Acquisition and Transmission: Design and development of multi-sensory systems and advanced technologies in contexts characterized by technological needs such as: inter-connectivity (wired or wireless), remote control, management of high flows of data, real-time storage of big data, data compression, energy harvesting, energy management, etc.

• Data Fusion and Interpretation: Design and development of methodologies for processing and fusing multisource and multimodal data. Design and development of tools for the analysis of data, for the selection of features, for decision support systems.

• Decision Support: Design and development of methodologies (such as neural classifiers, Bayesian classifiers, SVM, Statistical classifiers, HMM, etc.) for decision support, for the development of HMI interfaces and intelligent systems that cooperate with the operators for decision and control problems.

Performance Optimization: Development of methodological solutions in order to meet the real needs of end users. Design and development of specialized implementation using advanced technologies such as advanced HMI interfaces.

The following are just a few of the numerous potential application fields: diagnostics and quality control in transport, industry, aerospace, agro-food and health; autonomous navigation of mobile platforms; service robotics; surveillance and security; real-time monitoring of highly dynamic events; cultural heritage preservation and exploitation.

The group also has extensive knowledge of ICT infrastructures, networking and network security, and more specifically:
• engineering and management of cloud-based and mission-critical network infrastructures;
• energy-aware optimization, including frequency control of host composing datacenters, migration of virtual machine and the impact of security mechanisms on the overall consumption;
• network security aspects, ranging from the hardening of production-quality setups to research activities in the field of information hiding.
• IoT, mobile computing/networking and smart-based services, especially applied to the access to and control of remote facilities (e.g., for manufactoring environments).


In the last decades, quality control in manufacturing industries has increasingly gained importance in the inspection of complex assemblies in many mechanical fields, such as aeronautics and automotive. Conventional systems make use of touching probes, which are have inherent application limits since they are unsuitable for handling delicate objects and can lead to ambiguous measurements when the probe itself is deflected by the target. For these reasons, contactless optical probes, such as those based on laser triangulation, have been developed in order to get reliable, very fast measurements with low noise. This aspect has paved the way for many applications in different fields beyond mechanics, such as reverse engineering, plastic surgery, environmental reconstruction and cultural heritage.

The research activity of ISSIA-CNR is devoted to the definition of a novel triangulation-based 3D laser scanner able to recover the shape of challenging targets with the resolution of a few microns, often comparable with the physical diffraction limit. Accurate calibration strategies, techniques for deletion of second-order reflections and postprocessing filters are directly investigated and developed, with results that constitute the modern state of the art in 3D range sensors.


The term inspection generally refers to examination, measurement, testing and gauging of certain characteristics of objects (visual appearance, dimension, shape, etc.). The results are usually compared to specified requirements and standards to determine the level of acceptance of the examined objects. The inspection is done in a non-destructive way whenever possible.

In the agricultural & food industry, inspection and quality control are currently performed by subjective visual and/or tactile evaluation or by instrumental (chemical or physical) measures that are often destructive and can therefore only be applied to production samples. Calibrated colour images as well as multispectral and hyper-spectral analysis and imaging can provide useful information about the external (colour, dimension, shape, etc.) and internal (antioxidants, polyphenols, sugar contents, firmness, etc.) condition of agricultural products. ISSIA’s multispectral and hyper-spectral lab   cooperates with the Institute of Sciences of Food Production of the CNR to identify protocols and instruments to evaluate the quality of several agricultural products.

Calibrated colour images have been used to grade IV range products (nectarines) using the commonly used five levels quality scale. The grading determined automatically by the computer vision system has proved to be in line with state-of-the-art destructive evaluation carried out in the lab and to outperform the colour measurements provided by colorimeters. Moreover, the computer vision system brings colour evaluation at pixel resolution.

Calibrated color images have also been successfully employed to feed input data into a model that predicts antioxidant activity and phenol levels in carrots. In this application, the capability of the computer vision system to evaluate color at pixel resolution enables  detection of more meaningful, revealing regions of the product and identification of chromatic characteristics that are in line with lab measurements. In addition, a computer vision system can be easily integrated into industrial contexts to enable the grading of the whole production.
Moreover simplified tools are being investigated to design portable instruments that can be used at several stages of the products’ life to objectively and consistently evaluate their compatibility with market constraints.


Estimation of people location.

People Tracking by a multi-camera system  is a very important task in surveillance environments, and is beneficial to many applications such as behaviour recognition, group and interaction detection. The 3D people localization in a world reference system by multi-camera approaches allows the reduction of false alarms and uncertainty typical of monocular vision systems, which suffer the consequences of occlusions and cluttered backgrounds. Significant robustness and automation are achieved by introducing automatic ground plane estimation, confidence filtering, cross-camera correspondence estimation and multi-camera fusion.

Estimation of body pose

Body pose estimation  can help surveillance systems in many aspects. For example, from  body orientation we know what a person is probably looking at. This is especially useful in surveillance videos where low resolution only allows coarse head pose or gaze tracking. It is also important for group and interaction detection. For example, when people are interacting, they typically face towards each other (especially when they are static). Such group analysis cannot be performed accurately with location information alone, and body pose introduces valuable complement cues. 3D visual analysis by multi-camera approaches can greatly help estimate body orientation and velocity  when people are either moving or static.

Action recognition

Human action recognition is a major current research topic in computer vision since it represents a strategic requirement for intelligent surveillance systems.  The basic problems in human action recognition are how to learn and model relevant actions from training samples, and how effectively recognizing methods cope with small variations at spatial and time scales with similar classes of motion patterns.

Multi view methods have been recognized to be effective in these contexts. View invariant measures are necessary for the algorithms to maintain  invariance to the different positions  of the surveillance cameras. Different representations are used for human action recognition such as geometric models of body parts, optical flows patterns, space time interest points, shape based representations. When undistinguishing poses are observed, a valuable contribution comes from 3D analysis derived by multi camera approaches.

The Bioinformatics and Systems Biology Lab is a multidisciplinary laboratory in which biotechnologists, physicists and computer scientists address questions relative to life sciences with computational approaches. They are mainly involved in  analysis and integration of high-dimensional, heterogeneous data generated by high-throughput technologies, for highlighting key genetic markers and for unveiling the mechanisms underlying the onset and progression of complex and multifactorial diseases.
Moreover, the laboratory is equipped with a High Performance Computer Server, constituted by 64 computational nodes. Each node is provided with an Intel quadcore dual processor, 24 GB RAM, 250 GB disk and is interconnected in INFINIBAND. The server has a 14 TB storage system.

Safety in aeronautics could be improved if continuous checks were guaranteed during  in-service inspection of aircraft. However, until now, maintenance costs for in-service inspection have proved to be prohibitive for airlines. For this reason there is great interest in the development of low cost nondestructive inspection techniques that can be applied during normal routine tests. Inspecting aircraft to  detect internal defects of their composite materials (not detectable by visual inspection) is a difficult task unless invasive techniques are applied. The ISSIA computer vision research group has been involved for a number of years in addressing the problem of inspecting composite materials by automatic analysis of thermographic techniques or ultrasonic signals.








CAROMICS: New and hi-tech strategies…

CAROMICS: New and hi-tech strategies…


Be&Save – Study of technologies and…

Be&Save – Study of technologies and…


MASSIME – Mechatronic innovative safety…

MASSIME – Mechatronic innovative safety…


CARSLIDE: Mapping and monitoring system…

CARSLIDE: Mapping and monitoring system…


Chronic rejection in kidney transplantation…

Chronic rejection in kidney transplantation…


NDT Quality Control of tyres

NDT Quality Control of tyres


Study and Development of a Prototypal System for 3D Reconstruction…

Study and Development of a Prototypal System for 3D Reconstruction…


PILOC – Technological system for the automation…

PILOC – Technological system for the automation…


Operation Agreement CNR-FIGC

Operation Agreement CNR-FIGC


NDT for composite materials

NDT for composite materials





  1. Cavallo D.P.; Cefola M.; Pace B.; Logrieco A.F.; Attolico G.

    Contactless and non-destructive chlorophyll content prediction by random forest regression: A case study on fresh-cut rocket leaves, Computers and electronics in agriculture, Vol. 140, August 2017, Pages 303-310

  2. V. Renò, N. Mosca, M. Nitti, T. D’Orazio, C. Guaragnella, D. Campagnoli, A. Prati, E. Stella

    A technology platform for automatic high-level tennis game analysis, Computer vision and image understanding, Vo. 159, June 2017, pp. 164-175

  3. Bernardo Pace, Dario Pietro Cavallo, Maria Cefola, Giovanni Attolico

    Automatic Identification of Relevant Colors in Non-Destructive Quality Evaluation of Fresh Salad Vegetables, International Journal of Food Processing Technology, Vol. 4, 2017

  4. T. D’Orazio, R. Marani, V. Renò, G. Cicirelli

    Recent trends in gesture recognition: how depth data has improved classical approaches, Image and Vision Computing, Vol. 52, August 2016, Pages 56-72

  5. Marani R.; Renò V.; Nitti M.; D’Orazio T.; Stella E.

    A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration, Computer-Aided Civil and Infrastructure Engineering, Volume 31, Issue 7, 1 July 2016, Pages 515-534

  6. Maglietta, R.; Amoroso, N.; Boccardi, M.; Bruno, S.; Chincarini, A.; Frisoni, G. B.; Inglese, P.; Redolfi, A.; Tangaro, S.; Tateo, A.; Bellotti, R.

    Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm, Pattern Analysis and Applications, Vol. 19, Issue 2, 1 May 2016, Pages 579-591

  7. Marani, R., Renò, V., Nitti, M., D’Orazio, T., Stella E.

    A modified Iterative Closest Point algorithm for 3D Point Cloud Registration, Computer-Aided Civil and Infrastructure Engineering (CACAIE), 2016

  8. Marani, R., Renò, V., Nitti, M., D’Orazio, T., Stella, E.

    A Compact 3D Omnidirectional Range Sensor of High Resolution for Robust Reconstruction of Environments, Sensors, 15(2), 2015

  9. Patruno, C.; Marani, R.; Nitti, M.; D’Orazio, T.; Stella, E.

    "An Embedded Vision System for Real-Time Autonomous Localization Using Laser Profilometry", IEEE transactions on intelligent transportation systems, 2015

  10. D’Orazio, T. and Guaragnella, C.

    "A survey of automatic event detection in multi-camera third generation surveillance systems", International journal of pattern recognition and artificial intelligence, Vol. 29, 2015

  11. B. Pace, D. P.O Cavallo, M. Cefola, R. Colella, G. Attolico

    "Adaptive self-configuring computer vision system for quality evaluation of fresh-cut radicchio", Innovative food science & emerging technologies, 2015

  12. T. D’Orazio, P. Da Pelo, R. Marani, C. Guaragnella

    “Automated Extraction of Archaeological Traces by a Modified Variance Analysis”, Remote Sensing, 2015, 7(4), 3565-3587

  13. G. Cicirelli, C. Attolico, C. Guaragnella and T. D’Orazio

    “A Kinect-based Gesture Recognition Approach for a Natural Human Robot Interface”, International Journal of Advanced Robotic Systems, Vol. 12, 2015

  14. R. Marani, M. Nitti, G. Cicirelli, T. D’Orazio, and E. Stella

    High-Resolution Laser Scanning for Three-Dimensional Inspection of Drilling Tools, Hindawi Publishing Corporation, Advances in Mechanical Engineering, Article ID 620786, 2013

  15. B. Pace, M. Cefola, F. Renna, M. Renna, F. Serio, G. Attolico

    Multiple regression models and Computer Vision Systems to predict antioxidant activity and total phenols in pigmented carrots, Journal of food engineering, Vol. 117, No. 1, 2013

  16. T. D’Orazio, F. Palumbo, C. Guaragnella

    Archaeological trace extraction by a local directional active contour approach, Pattern Recognition 45 (2012) pp. 3427-3438

  17. M. Leo, D. Looney, D. Mandic, T. D’Orazio

    Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound, IEEE Transactions on instrumentation and measurement, Vol. 61, 2012

  18. Pace B., Cefola M., Renna F., Attolico G.

    Relationship between visual appearance and browning as evaluated by image analysis and chemical traits in fresh-cut nectarines, Postharvest biology and technology, Vol. 61, 2011

  19. T. D’Orazio; M. Leo

    A review of vision-based systems for soccer video analysis, Pattern Recognition, Vol. 43, No. 8, 2010

  20. P. Spagnolo, P. L. Mazzeo, , M. Leo, T. D’Orazio

    A Novel Histogram-based Feature Representation and its Application in Sport Players Classification, Lecture notes in computer science, Vol. 6455, 2010

  21. P.L. Mazzeo, P. Spagnolo M. Leo, T. D’Orazio

    Football Players classification in a Multi-camera environment, Lecture notes in computer science, Vol. 6475, 2010

  22. M. Leo, P.Spagnolo, P.L.Mazzeo, T.D’Orazio, A.Distante

    Real Time Smart Surveillance using Motion Analysis, Expert systems, Vol. 27, 2010

  23. M. Leo, N. Mosca, P. Spagnolo, P.L. Mazzeo, T.D’Orazio, A. Distante

    A Visual Framework for Interaction Detection in Soccer Matches, International journal of pattern recognition and artificial intelligence, Vol. 24, 2010

  24. T. D’Orazio; M. Leo; N. Mosca; M. Nitti; P. Spagnolo; A. Distante;

    A Visual System for Real Time Detection of Goal Events during Soccer Matches, Computer vision and image understanding, Vol. 113, No. 5, 2009

  25. M. Leo, T. D’Orazio, P. Spagnolo, P.L. Mazzeo, A.Distante

    Multi-view Player Action Recognition in Soccer Games, Lecture notes in computer science, Vol. 5496, 2009

  26. T. D’Orazio, M. Leo, P. Spagnolo, P. L. Mazzeo, N. Mosca, M. Nitti, A. Distante

    An Investigation into the Feasibility of Real-time Soccer Offside Detection from a Multiple Camera System, IEEE Transactions on circuits and systems for video technology, Vol. 19, No. 12, 2009

  27. P.Spagnolo, P.L.Mazzeo, T.D’Orazio, M.Nitti

    Edge-Based Algorithm for Shadows and Ghosts Removing, Lecture notes in computer science ??, 2009

  28. P. L. Mazzeo, P. Spagnolo, T. D’’Orazio

    Object Tracking by Non-overlapping Distributed Camera Network, Lecture notes in computer science, Vol. 5807, 2009

  29. P. Spagnolo, P.L. Mazzeo, M. Leo, T. D’’Orazio

    Shadows Removal by Edges Matching, Lecture notes in computer science, Vol. 5876, 2009


  1. Creanza, T. M.; Liguori, M.; Liuni, S.; Nuzziello, N.; Ancona, N.

    Meta-Analysis of Differential Connectivity in Gene Co-Expression Networks in Multiple Sclerosis, International journal of molecular sciences, Vol. 17, No. 6, 2016

  2. O. Palmieri, T.M. Creanza, F. Bossa, O. Palumbo, R. Maglietta, N. Ancona, G. Corritore, T. Latiano. G. Martino, G. Biscaglia, D. Scimeca, M.P. De Petris, M. Carella, V. Annese, A. Andriulli, A. Latiano

    'Genome-wide Pathway Analysis using Gene Expression Data of Colonic Mucosa in Patients with Inflammatory Bowel disease' Inflamm Bowel Dis (2015) 6:1260-8

  3. S. Tangaro, N. Amoroso, M. Brescia, S. Cavuoti, A. Chincarini, R. Errico, P. Inglese, G. Longo, R. Maglietta, A. Tateo, G. Riccio, and R. Bellotti

    ‘Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation’ Computational and Mathematical Methods in Medicine (2015) vol. 2015, Article ID 814104, 10 pages, 2015. doi:10.1155/2015/814104

  4. Zaza, G. L.; Rascio, F.; Pontrelli, Paola; Granata, Simona; Stifanelli, P. F.; Accetturo, M.; Ancona, N.; Gesualdo, L.; Lupo, A.; Grandaliano, G.

    Karyopherins: Potential biological elements involved in the delayed graft function in renal transplant recipients, BMC medical genomics, Vol. 7, No. 1, 2014

  5. S. Tangaro, N. Amoroso, M. Boccardi, S. Bruno, A. Chincarini, G. Ferraro, G.B. Frisoni, R. Maglietta, A. Redolfi, L. Rei, A. Tateo, R. Bellotti

    Alzheimers Disease Neuroimaging Initiative Automated voxel-by-voxel tissue classification for hippocampal segmentation: Methods and validation, Physica Medica (2014) DOI:10.1016/j.ejmp.2014.06.044

  6. Anglani, R., Creanza, T.M., Liuzzi, V.C., Piepoli, A., Panza, A., Andriulli, A., Ancona, N.

    Loss of connectivity in cancer co-expression networks, PLoS One, Jan 28;9(1), 2014

  7. Stifanelli, P.F., Creanza, T.M., Anglani, R., Liuzzi, V.C., Mukherjee, S., Schena, F.P., Ancona, N.

    A comparative study of covariance selection models for the inference of gene regulatory networks, Journal of Biomedical Informatics, 46 (5), pp. 894-904, 2013

  8. Valerio, F., Di Biase, M., Caputo, L., Creanza, T.M., Ancona, N., Visconti, A., Lavermicocca, P.

    Effect of Lactobacillus brevis-based bioingredient and bran on microbiological, physico-chemical and textural quality of yeast-leavened bread during storage, Innovative Food Science and Emerging Technologies, 2013

  9. R. Maglietta, R., Liuzzi, V.C., Cattaneo, E., Laczko, E., Piepoli, A., Panza, A., Carella, M., Palumbo, O., Staiano, T., Buffoli, F., Andriulli, A., Marra, G., Ancona, N.

    Molecular pathways undergoing dramatic transcriptomic changes during tumor development in the human colon, BMC Cancer, 12, art. no. 608, 2012

  10. Piepoli, A., Palmieri, O., Maglietta, R., Panza, A., Cattaneo, E., Latiano, A., Laczko, E., Gentile, A., Carella, M., Mazzoccoli, G., Ancona, N., Marra, G., Andriulli, A.

    The expression of leucine-rich repeat gene family members in colorectal cancer, Experimental Biology and Medicine, 237 (10), pp. 1123-1128, 2012

  11. Cox, S.N., Sallustio, F., Serino, G., Loverre, A., Pesce, F., Gigante, M., Zaza, G., Stifanelli, P.F., Ancona, N., Schena, F.P.

    Activated innate immunity and the involvement of CX3CR1-fractalkine in promoting hematuria in patients with IgA nephropathy, Kidney International, 82 (5), pp. 548-560, 2012

  12. Xiong, Q., Ancona, N., Hauser, E.R., Mukherjee, S., Furey, T.S.

    Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets, Genome Research, 22 (2), pp. 386-397, 2012

  13. D’Addabbo A., Palmieri O., Latiano A., Annese V., Mukherjee S., Ancona N.

    RS-SNP: a random-set method for genome-wide association studies, BMC genomics, 2011

  14. Palmieri O, Latiano A, Maglietta R, Palumbo O, Corritore G, Latiano T, Martino G, Carella M, Ancona N, Bossa F, Andriulli A, Annese V

    Dissection of the Crohn's Disease Transcriptome of 71 Loci Using Genome- Wide Microarrays, Gastroenterology, 2011

  15. Palmieri O, Latiano A, Maglietta R, Fabrizio B, Scimeca D, Biscaglia G, Palumbo O, Carella M, Ancona N

    Whole-transcript human gene expression pathway analysis in Crohn's disease, Journal of Crohn's and colitis, 2011

  16. A. D’Addabbo, O. Palmieri, R. Maglietta, A.Latiano, S. Mukherjee, V. Annese, N.Ancona

    Discovering genetic variants in Crohn's disease by exploring genomic regions enriched of weak association signals, Digestive and Liver Disease, Vol. 43 (8), pp. 623-631, 2011

  17. Maglietta, R., Ancona, N.

    On classification of signals represented with data-dependent overcomplete dictionaries, International Journal of General Systems, 40 (8), pp. 854-882, 2011

  18. D’Addabbo, A., Palmieri, O., Maglietta, R., Latiano, A., Mukherjee, S., Annese, V., Ancona, N.

    Discovering genetic variants in crohn’s disease by exploring genomic regions enriched of weak association signals, Digestive and Liver Disease, 43 (8), pp. 623-631, 2011

  19. D’Addabbo, A., Palmieri, O., Latiano, A., Annese, V., Mukherjee, S., Ancona, N.

    RS-SNP: A random-set method for genome-wide association studies, BMC Genomics, 12, art. no. 166, 2011

  20. Palmieri, O., Latiano, A., Maglietta, R., Palumbo, O., Carella, M., Ancona, N., Bossa, F., Andriulli, A., Annese, V.

    Dissecting the mucosal expression of human leucine-rich repeat family genes in inflammatory bowel disease patients,  Inflammatory Bowel Diseases, 17 (8), pp. 1834-1835, 2011

  21. Piepoli A, Panza A, Palumbo O, Gentile A, Biscaglia G, Copetti M, Maglietta R, Laczko E, Tavano F, Mastrodonato N, Di Sebastiano P, Pellegrini F, Carella M, Ancona N, Andriulli A

    The Combined Analysis of miRNA and mRNA Expression Levels in Normal and Neoplastic Colorectal Tissues Allows the Identification of Putative miRNA Target Transcripts, Gastroenterology, 2010

  22. Dell’Oglio, M.P., Zaza, G., Rossini, M., Divella, C., Pontrelli, P., Verrienti, R., Rutigliano, M., Ditonno, P., Stifanelli, P., Ancona, N., Schena, F.P., Grandaliano, G.

    The anti-fibrotic effect of mycophenolic acid-induced neutral endopeptidase, Journal of the American Society of Nephrology, 21 (12), pp. 2157-2168, 2010

  23. Cox, S.N., Sallustio, F., Serino, G., Pontrelli, P., Verrienti, R., Pesce, F., Torres, D.D., Ancona, N., Stifanelli, P., Zaza, G., Schena, F.P.

    Altered modulation of WNT-?-catenin and PI3K/Akt pathways in IgA nephropathy, Kidney International, 78 (4), pp. 396-407, 2010

  24. Maglietta, R., Distaso, A., Piepoli, A., Palumbo, O., Carella, M., D’Addabbo, A., Mukherjee, S., Ancona, N.

    On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers, Journal of Biomedical Informatics, 43 (3), pp. 397-406, 2010

  25. Abatangelo, L., Maglietta, R., Distaso, A., D’Addabbo, A., Creanza, T.M., Mukherjee, S., Ancona, N.

    Comparative study of gene set enrichment methods, BMC Bioinformatics, 10, art. no. 1471, p. 275, 2009

  26. D’Addabbo, A., Latiano, A., Palmieri, O., Creanza, M.T., Maglietta, R., Annese, V., Ancona, N.

    Association of genetic profiles to Crohn’s disease by linear combinations of single nucleotide polymorphisms, Artificial Intelligence in Medicine, 46 (2), pp. 131-138, 2009

  27. Piepoli, A., Cotugno, R., Merla, G., Gentile, A., Augello, B., Quitadamo, M., Merla, A., Panza, A., Carella, M., Maglietta, R., D’Addabbo, A., Ancona, N., Fusilli, S., Perri, F., Andriulli, A.

    Promoter methylation correlates with reduced NDRG2 expression in advanced colon tumour, BMC Medical Genomics, 2, art. no. 11, 2009

  28. T. M. Creanza; D. S. Corner; A. D’Addabbo; R. Maglietta; F. Mignone; N. Ancona; G. Pesole

    Statistical assessment of discriminative features for protein-coding and non coding cross-species conserved sequence elements, BMC Bioinformatics, Vol. 10, Issue SUPPL. 6, 16 June 2009


  1. Marani R.; Renò V.; Nitti M.; D’Orazio T.; Stella E.

    A compact 3D omnidirectional range sensor of high resolution for robust reconstruction of environments, Sensors, Vol. 15, No. 2, 2015

  2. Marino, F.; De Ruvo, P.; De Ruvo, G.; Nitti, M.; Stella, E.

    HiPER 3-D: An omnidirectional sensor for high precision environmental 3-D reconstruction, IEEE transactions on industrial electronics, Vol. 59, No. 1 , 2012


  1. R. Carlucci, R. Maglietta, G. Buscaino, G. Cipriano, A. Milella, V. Pollazzon, P. Bondanese, C. De Leonardis, S. Mona, M. Nitti, E. Papale, V. Renò, P. Ricci, E. Stella, C. Fanizza

    Review on Research Studies and Monitoring System Applied to Cetaceans in the Gulf of Taranto (Northern Ionian Sea, Central-Eastern Mediterranean Sea), AVSS 2017 Workshop on Intelligent Technologies for Environmental Monitoring, 2017

  2. A. Milella, M. Nielsen, G. Reina

    Sensing in the visible spectrum and beyond for terrain estimation in precision agriculture, ECPA 2017 - 11th European Conference on Precision Agriculture, Edinburgh, July 16-20, 2017

  3. Renò, V.; Mosca, N.; Nitti, M.; Guaragnella, C.; D’Orazio, T.; Stella, E.

    Real-time tracking of a tennis ball by combining 3D data and domain knowledge, TISHW 2016 - 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing, Proceedings of, Vila Real; Portugal; 1-3 December 2016

  4. R. Marani, N. Mosca, V. Renò, G. Cicirelli, E. Stella and T. D’Orazio

    Improving performance of an omnidirectional range sensor for 3D modeling of environments, 10th International Conference on Sensing Technology (ICST), November 11-13, 2016, Nanjing, China

  5. Marani, R.; Palumbo, D.; Galietti, U.; Stella, E.; D’Orazio, T.

    Automatic Detection of Subsurface Defects in Composite Materials using Thermography and Unsupervised Machine Learning, IEEE International Conference on Intelligent Systems, Sofia, Bulgaria, Sept 2016

  6. Marani, R.; Nitti, M.; Stella, E.; D’Orazio, T.

    Monitoring of indoor environments by change detection in point clouds, IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems, June 2016, Bari, Italy

  7. Renò, V., Cardellicchio, A., Politi, T., Guaragnella, C., D’Orazio, T.

    Exploiting ambiguities in the analysis of cumulative matching curves for person re-identification, International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016).

  8. Renò V.; Cardellicchio A.; Politi T.; Guaragnella C.; D’Orazio T.

    Exploiting ambiguities in the analysis of cumulative matching curves for person re-identification, ICPRAM 2016 - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016, Pages 484-494

  9. Renò, V.; Mosca, N.; Nitti, M.; D’Orazio, T.; Campagnoli, D.; Prati, A.; Stella, E.

    Tennis Player Segmentation for Semantic Behavior Analysis, 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015; Santiago; Chile; 11-18 December 2015

  10. Renò, V., Mosca, N., Nitti, M., D’Orazio, T., Campagnoli, D., Prati, A., Stella, E.

    Tennis player segmentation for semantic behavior analysis. 2nd IEEE International Workshop on Computer Vision in Sports (CVsports), 2015

  11. Cardellicchio A., D’Orazio T., Politi T. Renò V.

    An Human Perceptive Model for Person Re-identification, In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015), pages 638-643, Berlin, Germany

  12. Renó, V., Marani, R., Mosca, N., Nitti, M., D’Orazio, T., Stella, E.

    A Likelihood-Based Background Model for Real Time Processing of Color Filter Array Videos, In New Trends in Image Analysis and Processing--ICIAP 2015 Workshops (pp. 218-225). Springer International Publishing, 2015

  13. Marani, R., Renò, V., Stella, E., D’Orazio, T.

    An Improved ANOVA Algorithm for Crop Mark Extraction from Large Aerial Images Using Semantics, In Computer Analysis of Images and Patterns (pp. 591-603). Springer International Publishing, 2015

  14. Renò, V.; Marani, R.; D’Orazio, T.; Stella, E.; Nitti, M.

    An adaptive parallel background model for high-throughput video applications and smart cameras embedding in ICDSC 2014, Nov. 2014

  15. C. Attolico, C. Guaragnella, G. Cicirelli, T. D’Orazio

    “A Real Time Gesture Recognition System Based on a Set of Neural Networks”, 3rd International Workshop on Multimodal Pattern Recognition of Social Signals in Human Computer Interaction (MPRSS 2014), Stockholm, Sweden, August 24th, 2014

  16. C. Patruno, R. Marani, M. Nitti, T. D’Orazio and E. Stella

    “Design of a Low-Cost Vision System for Laser Profilometry Aiding Smart Vehicles Movement” in International Conference on Intelligent Autonomous Systems (IAS 13), Padua, July, 15-19, 2014

  17. C. Attolico, V. Renò, C. Guaragnella, T. D’Orazio, G. Cicirelli

    A Review of Gesture Recognition Approaches for HRI, Workshop on Real-Time Gesture Recognition for Human Robot Interaction, 15 July, 2014, Padua, Italy

  18. C. Attolico, C. Guaragnella, G. Cicirelli, T. D’Orazio

    (2014) “Development of a natural interface to control a mobile platform”, Workshop on Real-Time Gesture Recognition for Human Robot Interaction, 15 July, 2014, Padua, Italy

  19. T. D’Orazio, C. Attolico, G. Cicirelli and C. Guaragnella

    (2014) “A Neural Network Approach for Human Gesture Recognition with a Kinect Sensor”, International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014), 6-8 March, 2014, ESEO, Angers, Loire Valley, France.

  20. R. Marani, G. Roselli, M. Nitti, G. Cicirelli, T. D’Orazio, E. Stella

    (2013) A 3D vision system for high resolution surface reconstruction, in Seventh International Conference on Sensing Technology (ICST), Wellington, New Zealand, 3-5 Dec. 2013

  21. R. Marani, G. Roselli, M. Nitti, G. Cicirelli, T. D’Orazio and E. Stella

    (2013) Analysis of Indoor Environments by Range Images, in Seventh International Conference on Sensing Technology (ICST), Wellington, New Zealand, 3-5 Dec. 2013

  22. T. D’Orazio, G. Cicirelli

    (2012) People Re-Identification and Tracking from Multiple Cameras: a Review, in IEEE International Conference on Image Processing (ICIP), Orlando, FL, 30 Sett 2012-3 Ott 2012

  23. P. De Ruvo, G. De Ruvo, A. Distante, M. Nitti , E. Stella and F. Marino

    (2010) An Environmental 3-D Scanner with Wide FoV - Geometric Parameters Set Up, in IEEE International Conference on Imaging Systems and Techniques, Thessaloniki, Greece

  24. P. De Ruvo, G. De Ruvo, A. Distante, M. Nitti, E. Stella and F. Marino

    (2010) An Omnidirectional Range Sensor for Environmental 3-D Reconstruction, in IEEE International Symposium on Industrial Electronics, Bari, Italy

  25. M. Leo, D. Looney, T. D’Orazio, D. P. Mandic

    (2010) Bivariate EMD Analysis for Aircraft Component Inspection, in EEE International Symposium on Industrial Electronics (ISIE-2010), Bari (ITALY)

  26. T. D’Orazio, M. Leo, N. Mosca

    (2010) Panoramic Video Generation by Multi View Data Synthesis, in 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey

  27. T. D’Orazio, M. Leo, P.L. Mazzeo, P. Spagnolo

    (2010) Player Activity Recognition by a multivariate features integration, in IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), Boston (USA)

  28. M. Leo, T. D’Orazio, M. Trivedi

    (2009) A Multi Camera System for Soccer Player Performance Evaluation, in ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009), Como (Italy)

  29. T. D’Orazio, M. Leo, N. Mosca, P. Spagnolo, P.L. Mazzeo

    (2009) A semi-automatic system for ground truth generation of soccer video sequences, in 6th IEEE International Conference On Advanced Video and Signal Based Surveillance (AVSS09), Genova, Italy

  30. M. Leo, P. Spagnolo, P. L. Mazzeo and T. D’Orazio

    (2009) Advanced Player Activity Recognition by Integrating Body Posture and Motion Information, in The International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Lisbona, Portugal

  31. T. D’Orazio, P.L. Mazzeo, P. Spagnolo

    (2009) Color Brightness Transfer Function evaluation for non overlapping multi camera tracking, in Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, Italy

  32. F. De Felice, G. Attolico, A. Distante

    (2009) Configurable Design of Multimodal Non Visual Interfaces for 3D Ves, in Haptic and Audio Interaction Design, Dresda, September 2009


  1. T.M. Creanza., A. Piepoli, N. Ancona

    “Differential miRNA-mRNA co-expression networks in colorectal cancer” in FEBS Workshop: Decoding non-coding RNAs in development and cancer, Capri, October 12-15, 2014

  2. Creanza T.M., Anglani R., Liuzzi V., Piepoli A., Panza A., Andriulli A., Ancona N.

    “Differential connectivity in neoplastic co-expression networks” in BITS2014, Eleventh Annual Meeting of the Bioinformatics Italian Society, Rome, Italy., February 26-28, 2014

  3. S. Tangaro, N. Amoroso, S. Bruno, A. Chincarini, G. B. Frisoni, R. Maglietta, A. Tateo, and R. Bellotti

    (2013) Active Learning Machines for Automatic Segmentation of Hippocampus in MRI, Industrial Conference on Data Mining - Workshops, 2013

  4. A. Maglietta, L. Resta, A. Marzullo, R. Maglietta, G. Marra

    (2013) Immune Response and Intestinal Adenomas: Role of T-Lymphocytes and Macrophages, 6° Congresso Nazionale Siapec-Iap, 2013

  5. R. Maglietta, N. Amoroso, S. Bruno, A. Chincarini, G. Frisoni, P. Inglese, S. Tangaro, A. Tateo, R. Bellotti

    (2013) Random forest classification for hippocampal segmentation in 3D MR images, ICMLA 12th International Conference on Machine Learning and Applications, Miami, FL, 2013

  6. S. Tangaro, N. Amoroso, R. Maglietta, R. Errico, A. Monaco, A. Tateo and R. Bellotti

    (2013) A Grid-Based MRI Segmentation: a Comparison between Random Forests and Neural Networks, 4° Congresso Annuale dell'Italian Chapter dell'ISMRM Risonanza Magnetica in Medicina 2013

  7. Creanza T.M., Maglietta R., Liuzzi V.C., Anglani R., Stefanelli P.F., Piepoli A., Mukherjee S., Schena F.P., Ancona N.

    (2012) miRNA-mRNA Integrated Pathway Analysis: An Application To Colorectal Cancer, BITS 2012 Ninth Annual Meeting of the Bioinformatics Italian Society, Catania, Italy

  8. T.M. Creanza, V.C. Liuzzi, R. Maglietta, R. Anglani, P.F. Stefanelli, A. Piepoli, S. Mukherjee, F.P. Schena, N. Ancona

    (2012) Comparative Study of microRNA Pathway-Analysis Methodologies in Colorectal Cancer, 9th International Workshop on Computational Systems Biology WCSB 2012, Ulm University Germany

  9. R Anglani, TM Creanza, VC Liuzzi, PF Stifanelli, R Maglietta, A Piepoli, S Mukherjee, PF Schena, N Ancona

    (2012) Topological analysis of coexpression networks in neoplastic tissues, BITS 2012 Ninth Annual Meeting of the Bioinformatics Italian Society, Catania, Italy

  10. Piepoli A., Panza A., Palumbo O., Gentile A., Biscaglia G., Copetti M. , Maglietta R., Laczko E., Tavano F., Mastrodonato N., , Di Sebastiano P., Pellegrini F., Carella M., Ancona N. and Andriulli A.

    (2010) Identification of miRNA target transcripts by combined analysis of miRNA and mRNA expression levels in normal and neoplastic colorectal tissues, XVI Congresso delle Malattie Digestive - Federazione Italiana Società Malattie dell'Apparato Digerente FISMAD

  1. V. Renò, A. Cardellicchio, T. Politi, C. Guaragnella e T. D’Orazio

    Comparative analysis of PRID algorithms based on results ambiguity evaluation, Pattern Recognition Applications and Methods. ICPRAM 2016. Lecture Notes in Computer Science, vol 10163. Springer, Cham

  2. C. Attolico, C. Guaragnella, G. Cicirelli, T. D’Orazio

    “A real time gesture recognition system for Human Computer Interaction”, F. Schwenker et al. (Eds.): Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, LNAI Lecture Notes in Artificial Intelligence Vol. 8869, pp. 1–10, 2015. DOI: 10.1007/978-3-319-14899-1 9, ISBN: 978-3-319-14898-4, Springer International Publishing

  3. R. Marani, M. Nitti, G. Cicirelli, T. D’Orazio, E. Stella

    “Design of High-Resolution Optical Systems for Fast and Accurate Surface Reconstruction”, in Sensing Technology: Current Status and Future Trends III, Smart Sensors, Measurement and Instrumentation, Vol. 11, 2015, pp. 47-65, Springer International Publishing, ISBN 978-3-319-10947-3

  4. T. D’Orazio, M. Leo, C. Guaragnella

    (2009) Neural Network Approaches for Defect Detection in Composite Materials, Taylor & Francis Ltd., Abingdon (Regno Unito) in Composite Materials Technology: Neural Netwotk Applications, 2009