'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
Visual surveillance and activity analysis is an active research
field of computer vision. As a result, there are several
different algorithms produced for this purpose. To obtain
more robust systems it is desirable to integrate the different algorithms. To achieve this goal, the paper presents results in automatic event detection in surveillance videos, and a distributed application framework for supporting these methods. Results in motion analysis for static and moving cameras, automatic fight detection, shadow segmentation, discovery of unusual motion patterns, indexing and retrieval will be presented. These applications perform real time, and are suitable for real life applications