Object tracking method based on hybrid particle filter and sparse representation

Zhiping Zhou; Mingzhu Zhou; Jing Li

doi:10.1007/s11042-015-3211-3

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Object tracking method based on hybrid particle filter and sparse representation

Zhiping Zhou Mingzhu Zhou Jing Li

Year: 2016 Journal: Multimedia Tools and Applications Vol: 76 (2)Pages: 2979-2993 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-015-3211-3

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Keywords:

Particle filter Computer science Artificial intelligence Robustness (evolution) Video tracking Computer vision Tracking (education) Pattern recognition (psychology) Local binary patterns Sparse approximation Binary number Filter (signal processing) Object (grammar) Algorithm Mathematics Image (mathematics) Histogram

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Topics

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

Object tracking method based on hybrid particle filter and sparse representation

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