A Depth-based Polar Coordinate System for People Segmentation and Tracking with Multiple RGB-D Sensors

摘要: The work presented in this paper provides a framework for monitoring wide area indoor spaces built from multiple RGB-D sensors. A polar coordinate space representation of the common ground plane is proposed to effectively aggregate data all Additionally, it with capabilities that mitigate main issues related sensors i.e. limited range, degradation resolution distance and increasing noise. For multi-target tracking, use discriminative appearance model chief aspect order properly distinguish people one another, especially where density high. multi-part chromogram – which combines colour height dimension offering high capabilities. To evaluate new challenging dataset contains occlusions interactions aiming cover relevant aspects tracking systems.