Efficient particle filter and its application in contour tracking

Peng Chen; Hui Qian; Weisong Gao; Miaoliang Zhu

doi:10.1117/12.831264

30 October 2009 Efficient particle filter and its application in contour tracking

Peng Chen, Hui Qian, Weisong Gao, Miaoliang Zhu

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74950O (2009) https://doi.org/10.1117/12.831264
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

In order to improve the real-time performance of particle filter, this paper proposes an efficient particle filter algorithm and evaluates its usage in object contour tracking application. This new filter uses only one particle to predict next state in certain situations. As particle set size is one, there is no need to resample the particles before prediction. Therefore the real-time performance of particle filter is improved. To maintain the performance of particle filter, we use one particle sample only in prediction step and only in situations where particles are close enough with each other. After prediction step, the original number of particle samples is recovered. Experiment shows that the new particle filter uses less time to process the particles while retain tracking performance comparable with the regular particle filter.

Citation Download Citation

Peng Chen, Hui Qian, Weisong Gao, and Miaoliang Zhu "Efficient particle filter and its application in contour tracking", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950O (30 October 2009); https://doi.org/10.1117/12.831264

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KEYWORDS

Particles

Particle filters

Detection and tracking algorithms

Motion models

Diffusion

Filtering (signal processing)

Optical tracking

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