15 November 2007 Quadratic programming based multi-target tracking in infrared image sequence
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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.
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Jiuqing Wan, Jiuqing Wan, Jinsong Yu, Jinsong Yu, Xiaoqing Zhang, 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); doi: 10.1117/12.743041; https://doi.org/10.1117/12.743041
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