Multiple people labeling and tracking using stereo for human computer interaction

Abstract

In this paper, we propose a system for multiple people tracking using fragment based histogram matching. Appearance model is based on Improved HLS color histogram which can be calculated efficiently using integral histogram representation. Since the histograms will loss all spatial information, we define a fragment based region representation which retains spatial information, robust against occlusion and scale issue by using disparity information. Multiple people labeling is maintained by creating an online appearance representation for each person detected in the scene and calculating fragment vote map. Initialization is performed automatically from the background segmentation step. © Springer-Verlag Berlin Heidelberg 2007.