Affiliations: [a] School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China | [b] Electronic Information and Control National Experimental Teaching Center, Beijing Information Science and Technology University, Beijing, China | [c] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
Correspondence:
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Corresponding author. Zhenghao Xi, School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China. Tel.: +86 15252932858; Fax: +86 021 67791126; [email protected]
Abstract: Persistently tracking multiple objects is very challenging when there exit occlusions. We present a tracking association approach based on the A* algorithm. We first formulate the multiple object tracking as an integer programming problem of the flow network. Under this framework, the integer assumption is relaxed to a standard linear programming problem. Therefore, the global optimal solution can quickly be obtained using the A* algorithm with dynamic weights. The proposed method avoids the difficulties of integer programming and more importantly, it has a lower worst-case complexity than competing methods but a better tracking accuracy and robustness in complex environments. Experiment results revealed that our proposed method achieved state-of-the-art time costs and can operate in real-time.
