Jingjing Xiao

Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models

This paper presents a method for single target tracking of arbitrary objects in challenging video sequences. Targets are modeled at three different levels of granularity (pixel level, parts-based level and bounding box level), which are cross-constrained to enable robust model relearning. The main c…