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- W2889443135 abstract "For realizing the multi-target tracking in unknown clutter environment, focus on the insufficiencies of the BPF framework, an algorithm is proposed which combined the HOG&Adaboost detection with the mixture particle filter(MPF), the fusion of the Sub-Integral Histogram and the LBP feature is constructed as a dynamic observation model for every target. Finally, the proposed algorithm is not only to realize the multi-target tracking, but also is robust to solve the problem of the appearance and disappearance of targets in the video sequences. Besides, it also can handle the short-time partial occlusion, similar appearance and the cross movement efficiently." @default.
- W2889443135 created "2018-09-07" @default.
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- W2889443135 date "2017-12-01" @default.
- W2889443135 modified "2023-09-26" @default.
- W2889443135 title "Multi-target Tracking Based on Improved Particle Filter Algorithm" @default.
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- W2889443135 doi "https://doi.org/10.1109/iccsec.2017.8446975" @default.
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