Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture

Cristian Canton-­Ferrer; Josep R. Casas; Montse Pardàs

doi:10.1007/978-3-540-70517-8_9

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Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture

Cristian Canton-Ferrer Josep R. Casas Montse Pardàs

Year: 2008 Lecture notes in computer science Pages: 82-91 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-70517-8_9

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Keywords:

Computer science Particle filter Scalability Hierarchy Motion capture Simulated annealing Scheme (mathematics) Artificial intelligence Pose Computer vision Set (abstract data type) Human motion Motion (physics) Data mining Algorithm Database Programming language

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture

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Citation History

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