Research on Face Tracking in Community Monitoring System

Shuang Liu

doi:10.4028/www.scientific.net/AMM.484-485.358

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 484-485Research on Face Tracking in Community Monitoring...

Research on Face Tracking in Community Monitoring System

Abstract:

This paper proposes a block Mean-Shift algorithm based on target real-time update and LBP texture features, through the target update improves the accuracy of target tracking, enhances the local character of the target through the target block, so as to improve the robustness of algorithm based on skin color backgrounds. And then analyze the Mean-Shift algorithm cannot recover quickly lost target tracking defects, and its improvement by combining the frame difference method.

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Periodical:

Applied Mechanics and Materials (Volumes 484-485)

Pages:

358-362

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.484-485.358

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Online since:

January 2014

Authors:

Shuang Liu*

Keywords:

Face Detection, Face Tracking, Improved Mean-Shift Algorithm

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* - Corresponding Author

References

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