A Multi-features Based Particle Filtering Algorithm for Robust and Efficient Object Tracking

Shuang Ye; Yanguo Zhao; Feng Zheng; Zhan Song

doi:10.1007/978-3-642-35286-7_2

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A Multi-features Based Particle Filtering Algorithm for Robust and Efficient Object Tracking

Shuang Ye Yanguo Zhao Feng Zheng Zhan Song

Year: 2012 Communications in computer and information science Pages: 8-15 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-35286-7_2

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Keywords:

Robustness (evolution) Video tracking Particle filter Computer science Computation Artificial intelligence Tracking (education) Computer vision Pattern recognition (psychology) Feature (linguistics) Representation (politics) Binary number Algorithm Mean-shift Object (grammar) Filter (signal processing) Mathematics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

A Multi-features Based Particle Filtering Algorithm for Robust and Efficient Object Tracking

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