Tracking people through occlusions
Min Chun Hu, Weiming Hu, Tieniu Tan · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
In people tracking, one of the most challenging issues is occlusion handling. To cope with it, we introduce a Bayesian network, which involves human 2D ellipse models and an extra hidden process for occlusion relation. The 2D ellipse model combines color and spatial information simultaneously by creating color histograms for serval sub-regions. The extra hidden process for occlusion indicates the depth information of people through occlusions. The tracking process is performed using a condensation algorithm. Experiments show the effectiveness of the proposed method.