A Fast Object Tracking Approach in Vision Application

Xiao Jing Zhang; Chen Ming Sha; Ya Jie Yue

doi:10.4028/www.scientific.net/AMM.513-517.3265

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517A Fast Object Tracking Approach in Vision...

A Fast Object Tracking Approach in Vision Application

Abstract:

Object tracking has always been a hot issue in vision application, its application area include video surveillance, human-machine, virtual reality and so on. In this paper, we introduce the Mean shift tracking algorithm, which is a kind of important no parameters estimation method, then we evaluate the tracking performance of Mean shift algorithm on different video sequences.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3265-3268

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3265

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Online since:

February 2014

Authors:

Xiao Jing Zhang*, Chen Ming Sha, Ya Jie Yue

Keywords:

Computer Vision, Mean-Shift, No Parameters Estimation, Object Tracking

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* - Corresponding Author

References

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DOI: 10.1109/iccv.2009.5459292

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