Quadratic programming based multi-target tracking in infrared image sequence

Jiuqing Wan; Jinsong Yu; Xiaoqing Zhang

doi:10.1117/12.743041

15 November 2007 Quadratic programming based multi-target tracking in infrared image sequence

Jiuqing Wan, Jinsong Yu, Xiaoqing Zhang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860I (2007) https://doi.org/10.1117/12.743041
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In this paper a novel approach for multiple maneuvering targets tracking in infrared image sequence is proposed. For each target, the measurement weights and model weights, which are essential for data association and multi-model based filtering, are determined jointly by quadratic programming. The proposed method avoids events enumeration process in traditional tracking algorithm such as JPDA and hill-climbing optimization process in classical EM-based algorithm. Simulation results show that compared with IMM+JPDA and recursive EM based algorithm, the proposed quadratic programming based algorithm can achieve good performance in both tracking accuracy and computational complexity.

Citation Download Citation

Jiuqing Wan, Jinsong Yu, and Xiaoqing Zhang "Quadratic programming based multi-target tracking in infrared image sequence", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860I (15 November 2007); https://doi.org/10.1117/12.743041

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