2D Human Tracking by Efficient Model Fitting Using a Path Relinking Particle Filter

Pantrigo, Juan José; Sánchez, Ángel Mediavilla; Gianikellis, Kostas; Montemayor, Antonio S.

doi:10.1007/978-3-540-30074-8_20

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…As a matter of fact, the system was used only off-line. Pantrigo et al 5 present the Path Relinking Particle Filter (PRPF) algorithm applied to model-based human motion tracking and analysis. The PRPF algorithm appears to be more accurate then the classical particle filter, however, no mention is given to processing time.The approach presented in Ref.…”

Section: Introductionmentioning

confidence: 99%

Tracking Human Motion From Monocular Sequences

Snidaro

Foresti

Chittaro

2008

Int. J. Image Grap.

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In recent years, analysis of human motion has become an increasingly relevant research topic with applications as diverse as animation, virtual reality, security, and advanced human-machine interfaces. In particular, motion capture systems are well known nowadays since they are used in the movie industry. These systems require expensive multicamera setups or markers to be worn by the user. This paper describes an attempt to provide a markerless low cost and real-time solution for home users. We propose a novel approach for robust detection and tracking of the user's body joints that exploits different algorithms as different sources of information and fuses their estimates with particle filters. This system may be employed for real-time animation of VRML or X3D avatars using an off-the-shelf digital camera and a standard PC.

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Section: Introductionmentioning

confidence: 99%