Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Statistical modeling for networked video: coding optimization, error concealment and traffic analysis
Twist Based Acquisition and Tracking of Animal and Human Kinematics
International Journal of Computer Vision
SCAPE: shape completion and animation of people
ACM SIGGRAPH 2005 Papers
Automatic rigging and animation of 3D characters
ACM SIGGRAPH 2007 papers
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Accurate Human Motion Capture Using an Ergonomics-Based Anthropometric Human Model
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation
International Journal of Computer Vision
Event-based unobtrusive authentication using multi-view image sequences
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Spatiotemporal analysis of human activities for biometric authentication
Computer Vision and Image Understanding
Model-based recognition of human actions by trajectory matching in phase spaces
Image and Vision Computing
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In this paper we present a method for automatic body model adjustment and motion tracking in multicamera environments. We introduce a set of shape deformation parameters based on linear blend skinning, that allow a deformation related to the scaling of the distinct bones of the body model skeleton, and a deformation in the radial direction of a bone. The adjustment of a generic body model to a specific subject is achieved by the estimation of those shape deformation parameters. This estimation combines a local optimization method and hierarchical particle filtering, and uses an efficient cost function based on foreground silhouettes using GPU. This estimation takes into account anthropometric constraints by using a rejection sampling method of propagation of particles. We propose a hierarchical particle filtering method for motion tracking using the adjusted model. We show accurate model adjustment and tracking for distinct subjects in a 5 cameras set up.