This paper presents an algorithm for tracking individual targets in high density crowd scenes
containing hundreds of people. Tracking in such a scene is extremely challenging due to the …

Video-surveillance systems are becoming more and more autonomous in the detection and
the reporting of abnormal events. In this context, this paper presents an approach to detect …

We discuss the problem of detecting dominant motions in dense crowds, a challenging and
societally important problem. First, we survey the general literature of computer vision …

We present a tool that automatically detects abnormal situations in crowded scenes in real
time. The followed approach analyzes the general motion aspect, instead of tracking …

This paper presents an approach to detect an abnormal situation in a crowd scene. The
proposed approach estimates sudden changes and abnormal motion variations in a set of …

Video footage of real crowded scenes still poses severe challenges for automated
surveillance. This paper evaluates clustering methods for finding independent dominant …

Group action recognition in soccer videos is a challenging problem due to the difficulties of
group action representation and camera motion estimation. This paper presents a novel …

One family of visual processes that has relevance for various applications of computer vision
is that of, what could be loosely described as, visual processes composed of ensembles of …

Video surveillance of large facilities, such as airports, rail stations and casinos, is developing
rapidly. Cameras installed at such locations often overlook large crowds, which makes …

Video surveillance in crowd is challenging for public security. This paper focuses on the
detection of human abnormal behaviors in crowd. The issue is crucial in some special …