Object tracking method using back-projection of multiple color histogram models

Automated object tracking system is needed for unmanned observing and proper recording of important places. In this paper, we propose an object tracking method which uses back-projection of color histogram with multiple models. We can make some representative models of an object from its color histogram distribution. 3D Labeling is introduced to eliminate unsuitable histogram blobs and color histogram models are composed from survived blobs. The position of interested object could be estimated with the back-projection image of each model. The proposed method can reduce the miss tracking even if object enters similar colored region in complex video scenes.