Unscented Kalman Filtering for Articulated Human Tracking

Anders Larsen; Søren Hauberg; Kim Steenstrup Pedersen

doi:10.1007/978-3-642-21227-7_22

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Unscented Kalman Filtering for Articulated Human Tracking

Anders Larsen Søren Hauberg Kim Steenstrup Pedersen

Year: 2011 Lecture notes in computer science Pages: 228-237 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-21227-7_22

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Keywords:

Particle filter Kalman filter Computer vision BitTorrent tracker Computer science Artificial intelligence Tracking (education) Tracking system Ground truth Extended Kalman filter Eye tracking

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1.53

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0.82

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Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unscented Kalman Filtering for Articulated Human Tracking

Metrics

Citation History

Topics

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