基于Meanshift优化粒子滤波算法的低空平台下车辆跟踪

J4 ›› 2012, Vol. 50 ›› Issue (03): 535-.

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Meanshift Optimization Based Particle Filter Tracking of Vehicles in LowAltitude Platform

SHI Hong¹, LIU Tao², LI Ming³, SHEN Min jie⁴

1. College of Information and Technology, Jilin Normal University, Siping 136000, Jilin Province, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China;3. Economic Information Center of Jilin Province, Changchun 130061, China;4. Patent Examination Cooperation Center of the Patent Office, Beijing 100083, China

Received:2011-09-13 Online:2012-05-26 Published:2012-05-28
Contact: SHI Hong E-mail:shihong8498@yahoo.com.cn

Abstract

Abstract:

We analyzed the vehicle characteristics in low altitude platform, and proposed a fast object tracking method via particle filter based on Meanshift optimization. In our method, we used color distribution histogram to represent an object. Then Meanshift algorithm was applied to iterative optimization in particle selecting stage. This innovation is able to reduce the particle number in tracking. The experiments show that our method has strong robustness and stability, and it can be applied in fast tracking in low altitude platform.

Key words: particle filter, lowaltitude platform, tracking

CLC Number:

TP391

SHI Gong, LIU Chao, LI Ming, CHEN Min-Ji. Meanshift Optimization Based Particle Filter Tracking of Vehicles in LowAltitude Platform[J].J4, 2012, 50(03): 535-.

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Meanshift Optimization Based Particle Filter Tracking of Vehicles in LowAltitude Platform

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