Solving multiple-target tracking using adaptive filters

摘要: Multiple-target tracking represents a challenging question in uncontrolled scenarios. Due to high-level applications, such as behavioral analysis, the need of robust system is high. In multiple scenario it necessary consider and resolve occlusions, well formations splitting object groups. this work, method based hierarchical architecture for proposed deal with these matters. Background subtraction, blob detection, low-level tracking, collision detection appearance used avoid occlusion grouping problems. Experimental results show promising management, grouping, splitting, events, while remains invariant illumination changes.