Remarkable local resampling based on particle filter for visual tracking

Zhiqiang Zhao; Tianjiang Wang; Fang Liu; Gwangmin Choe; Caihong Yuan; Zongmin Cui

doi:10.1007/s11042-015-3075-6

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JOURNAL ARTICLE

Remarkable local resampling based on particle filter for visual tracking

Zhiqiang Zhao Tianjiang Wang Fang Liu Gwangmin Choe Caihong Yuan Zongmin Cui

Year: 2015 Journal: Multimedia Tools and Applications Vol: 76 (1)Pages: 835-860 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-015-3075-6

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Keywords:

Computer science Resampling Particle filter Auxiliary particle filter Tracking (education) Computer vision Artificial intelligence Filter (signal processing) Kalman filter Ensemble Kalman filter Extended Kalman filter

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

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