Kernel Based Spatiogram Tracking Using Improved Similarity Measure

Spatiogram were generalization of histograms, which can harvest spatial information of images. In this paper, we address the object tracking problem using spatiogram as feature descriptor. We use an improved spatiogram similarity measure which is recently proposed. Based on the measure, we derive a kernel tracking algorithm utilizing mean shift procedure. We test our tracking algorithm on several datasets. Experiment show better tracking result compared with the previously proposed kernel based spatiogram tracking algorithm.