One of the goals of the ACTS project MODEST is to build an automatic video-surveillance system from a sequence of digital images. The overall system can be divided into the followi...
Patrick Piscaglia, Andrea Cavallaro, Michel Bonnet...
The Imagelab Laboratory of the University of Modena and Reggio Emilia has designed a large video repository, aiming at containing annotated video surveillance footages. The web in...
Human matching between different fields of view is a difficult problem in intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it. In...
The issue of privacy protection in video surveillance has drawn a lot of interest lately. However, thorough performance analysis and validation is still lacking, especially regard...
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...