Dynamic shortest path association for multiple object tracking in video sequence

Zhenghao Xi; Heping Liu; Huaping Liu; Yang Zheng

doi:10.1117/1.JEI.24.1.013009

8 January 2015 Dynamic shortest path association for multiple object tracking in video sequence

Zhenghao Xi, Heping Liu, Huaping Liu, Yang Zheng

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 1, 013009 (January 2015). https://doi.org/10.1117/1.JEI.24.1.013009

Abstract

Persistently tracking multiple objects in cluttered environments is very challenging. We present a tracking association approach based on the shortest path faster 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 fast dynamic shortest path algorithm, which highlights the dynamic programming characteristic of the shortest path, thus faster, algorithm. The proposed method avoids the difficulties of integer programming; more importantly, it has a lower worst-case complexity than competing methods but a better tracking accuracy and robustness in complex environments. Simulation results show that our proposed algorithm takes less time than other methods and can operate in real time.

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Zhenghao Xi, Heping Liu, Huaping Liu, and Yang Zheng "Dynamic shortest path association for multiple object tracking in video sequence," Journal of Electronic Imaging 24(1), 013009 (8 January 2015). https://doi.org/10.1117/1.JEI.24.1.013009

Published: 8 January 2015

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