In recent years, there has been a growing diffusion of multi-camera systems for monitoring and surveillance purposes. By analyzing information from more cameras it is possible to monitor activities in large, complex areas such as buildings, airports, road and rail networks, sports grounds. Multi camera systems can provide more confident deductions about the events of interest and reduce ambiguities in a single view caused by occlusion or other factors. The aim of the workshop is to bring together researchers from the computer vision community which address the problem of interpretation of visual information by multiview camera systems. The conjunction with SMC is an opportunity to share some similar topics e.g. multi dimensional processing, target tracking, feature extraction, pattern recognition, data fusion, which are important for human activity monitoring issues. The Multi- camera domain will play a central role in future technology in different innovative contexts such as ambient intelligence, surveillance for security, in sports applications, social intelligence and so on.

The topics of interests include

Human behaviour analysis

Individual activity detection and recognition

Multi agent activity detection and recognition

Event detection

Paper Submission

We invite original research papers describing significant results by using multi-camera viewing for monitoring and surveillance purposes. Videos or demos along submitted papers in which they visually show applications are also welcomed. Submitted papers may not substantially overlap papers that have been published or that are simultaneously submitted to a journal or conference with

proceedings. Full-length papers up to 6 pages in length reporting.

On original research are solicited. To submit your paper send the pdf file by email to ammcss@ba.issia.cnr.it with object “paper submission” and the corresponding author contact details in the email text. The authors guidelines are the same of SMC and can be found at http://www.smc2012.org/papersubmission.php