Texture Feature-Based Particle Filter Video Tracking Using Cooccurrence Matrices

Tao Zhang; Yu Qing Chen; Xiang Yu Yu

doi:10.4028/www.scientific.net/AMM.457-458.1294

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458Texture Feature-Based Particle Filter Video...

Texture Feature-Based Particle Filter Video Tracking Using Cooccurrence Matrices

Abstract:

.In this paper, a video tracking approach based on particle filter is proposed. Texture information is used instead of color. In the proposed approach, gray cooccurrence matrices are used as the texture metric. Experimental results show that the proposed algorithm lead to better result than color feature-based particle filter-based video tracking algorithm and is an effective tool for complicated video tracking application.

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Periodical:

Applied Mechanics and Materials (Volumes 457-458)

Pages:

1294-1297

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.1294

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Online since:

October 2013

Authors:

Tao Zhang, Yu Qing Chen, Xiang Yu Yu

Keywords:

Cooccurrence Matrices, Particle Filter (PF), Texture Feature, Video Tracking

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References

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