Study of Multi-target Tracking Algorithm Based on Mean-shift and Particle Filter

Lijing Huang; Naiwen Yu; Ming Han; Peng Liu

doi:10.1007/978-3-662-43871-8_247

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Study of Multi-target Tracking Algorithm Based on Mean-shift and Particle Filter

Lijing Huang Naiwen Yu Ming Han Peng Liu

Year: 2015 Pages: 1717-1724

DOI: 10.1007/978-3-662-43871-8_247

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Keywords:

Mean-shift Auxiliary particle filter Particle filter Resampling Algorithm Robustness (evolution) Tracking (education) Kernel density estimation Monte Carlo localization Computer science Position (finance) Artificial intelligence Mathematics Pattern recognition (psychology) Ensemble Kalman filter Kalman filter Statistics Estimator Extended Kalman filter

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Study of Multi-target Tracking Algorithm Based on Mean-shift and Particle Filter

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