CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Statistical modeling for networked video: coding optimization, error concealment and traffic analysis
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
A software pipeline for 3D animation generation using mocap data and commercial shape models
Proceedings of the ACM International Conference on Image and Video Retrieval
Skeleton and shape adjustment and tracking in multicamera environments
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Model-based hand gesture tracking in ToF image sequences
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Two-layer dual gait generative models for human motion estimation from a single camera
Image and Vision Computing
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This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. The Scalable Human Body Model (SHBM) is presented as a set of human body models ordered following a hierarchy criteria. The concept of annealing is applied to derive a generic particle filtering scheme able to perform a sequential filtering over the models contained in the SHBM leading to a structural annealingprocess. This scheme is applied to perform human motion capture in a multi-camera environment. Finally, the effectiveness of the proposed system is addressed by comparing its performance with the standard and annealed particle filtering approaches over an annotated database.