Object Update-Based Mean Shift Tracing Algorithm Combined with LBP

Mou Zhong Liu; Min Sun; Ya Fen Wang

doi:10.4028/www.scientific.net/AMM.548-549.1185

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 548-549Object Update-Based Mean Shift Tracing Algorithm...

Object Update-Based Mean Shift Tracing Algorithm Combined with LBP

Abstract:

This paper proposed a novel solution to track human face obscured largely in an image on the basis of Mean Shift Tracing Algorithm (MSTA). The improved approach aims to update the target model in real-time during the whole tracking process to avoid target losing. Local Binary Pattern (LBP) theory is chosen to improve the original MSTA here. The experimental result shows that our new solution has a better performance in target tracking under situations like face rotation and occlusion as well as in fast acquisition when faces reappear on the screen.

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Periodical:

Applied Mechanics and Materials (Volumes 548-549)

Pages:

1185-1191

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.548-549.1185

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Online since:

April 2014

Authors:

Mou Zhong Liu*, Min Sun, Ya Fen Wang

Keywords:

LBP Feature, Mean Shift Tracing Algorithm, Target Model Update, Target Tracking

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* - Corresponding Author

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