Research on Target Tracking Algorithm Based on Particle Filter and Mean-Shift

Yan Hai Wu; Xia Min Xie; Zi Shuo Han

doi:10.4028/www.scientific.net/AMM.457-458.1050

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458Research on Target Tracking Algorithm Based on...

Research on Target Tracking Algorithm Based on Particle Filter and Mean-Shift

Abstract:

Since Mean-Shift tracking algorithm always falls into local extreme value when the target was sheltered and the particle filter tracking algorithm has huge calculation and degeneracy phenomenon, a new target tracking algorithm based on Mean-Shift and Particle Filter combination is proposed in this paper. First, this paper introduces the basic theory of Mean-Shift and Particle Filter tracking algorithm, and then presents the new target tracking which the Mean-Shift iteration embeds Particle Filter algorithm. Experiment results show that the algorithm needs less computation, while the real-time tracking has been guaranteed, robustness has been improved and the tracking results has been greatly increased.

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Periodical:

Applied Mechanics and Materials (Volumes 457-458)

Pages:

1050-1053

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.1050

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Online since:

October 2013

Authors:

Yan Hai Wu, Xia Min Xie, Zi Shuo Han

Keywords:

Algorithm (GA), Iteration, Mean-Shift, Particle Filter (PF), Target Tracking

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