Video surveillance is one of the most studied application in Computer Vision. We propose a novel method to identify and track people in a complex environment with stereo cameras. It uses two stereo cameras to deal with occlusions, two different background models that handle shadows and illumination changes and a new segmentation algorithm that is effective in crowded environments. The algorithm is able to work in real time and results demonstrating the effectiveness of the approach are shown.
A NOVEL SEGMENTATION METHOD FOR CROWDED SCENES / Bloisi, Domenico Daniele; Iocchi, Luca; D. N., Monekosso; P., Remagnino. - 2:(2009), pp. 484-489. ((Intervento presentato al convegno 4th International Conference on Computer Vision Theory and Applications tenutosi a Lisboa; Portugal nel FEB 05-08, 2009.