Dynamic multi-cue tracking with detection responses association

Authors:
Guochen Jia;Yonghong Tian;Yaowei Wang;Tiejun Huang;Min Wang
Affiliations:
Peking University, Beijing, China;Peking University, Beijing, China;Beijing Institute of Technology, Beijing, China;Peking University, Beijing, China;Peking University, Beijing, China
Venue:
Proceedings of the international conference on Multimedia
Year:
2010

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Abstract

Multi-cue integration has proved successful at increasing the robustness of tracking algorithms and overcoming the failure cases of individual cue. But considering dynamic appearance of objects or clutter background, the integration based on constant weights may weaken the performance of this scheme. In this paper, we propose a dynamic weights update mechanism for multiple cues tracking with detection responses as supervision. We integrate multiple cues based on the observation hypotheses compared with detection association results and adjust the weights according to the approximation degree. The integration is adapted on-the-fly during tracking, in order to keep the tracker adaptive. The proposed method allows flexible combination of different cues and we select cues based on color and local feature for tracking. Experiments are carried out on 602 trajectories extracted from TRECVID 2008 event detection dataset which is recorded in an airport scenario. Comparison results prove the effectiveness of our method.