An Improved Tracking Algorithm Combing Color and LBP Texture Features Based on Particle Filter

En Zeng Dong; Li Ya Su; Yan Hong Fu

doi:10.4028/www.scientific.net/AMM.385-386.1484

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386An Improved Tracking Algorithm Combing Color and...

An Improved Tracking Algorithm Combing Color and LBP Texture Features Based on Particle Filter

Abstract:

In this paper, an tracking algorithm combing color and LBP texture features based on particle filter is proposed to overcome the disadvantages of existing particle filter object tracking methods. A color histogram and a texture histogram were combined to build the objects reference model, effectively improving the accuracy of object tracking. Experimental results demonstrate that, compared with the method based on single feature, the proposed method is highly effective, valid and is practicable.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1484-1487

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1484

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Online since:

August 2013

Authors:

En Zeng Dong, Li Ya Su, Yan Hong Fu

Keywords:

Local Binary Pattern (LBP), Object Tracking, Particle Filtering, Weighted Color Histogram

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