Rao-Blackwellized particle filtering with Gaussian mixture models for robust visual tracking

Jungho Kim; Zhe Lin; In So Kweon

doi:10.1016/j.cviu.2014.04.002

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JOURNAL ARTICLE

Rao-Blackwellized particle filtering with Gaussian mixture models for robust visual tracking

Jungho Kim Zhe Lin In So Kweon

Year: 2014 Journal: Computer Vision and Image Understanding Vol: 125 Pages: 128-137 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2014.04.002

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Keywords:

Robustness (evolution) Particle filter Outlier Mixture model Active appearance model Artificial intelligence Gaussian Expectation–maximization algorithm Computer vision Computer science Pattern recognition (psychology) Tracking (education) Gaussian network model Kalman filter Algorithm Mathematics Image (mathematics) Maximum likelihood Statistics

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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

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Rao-Blackwellized particle filtering with Gaussian mixture models for robust visual tracking

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