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ECCV
2006
Springer
13 years 10 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
AMDO
2008
Springer
13 years 10 months ago
Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation
This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3d m...
Andreas Aristidou, Jonathan Cameron, Joan Lasenby
3DPVT
2006
IEEE
259views Visualization» more  3DPVT 2006»
14 years 2 months ago
3D Skeleton-Based Body Pose Recovery
This paper presents an approach to recover body motions from multiple views using a 3D skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints...
Clément Ménier, Edmond Boyer, Bruno ...
IPMI
2007
Springer
14 years 2 months ago
Joint Sulci Detection Using Graphical Models and Boosted Priors
In this paper we propose an automated approach for joint sulci detection on cortical surfaces by using graphical models and boosting techniques to incorporate shape priors of major...
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca ...
TMI
2010
182views more  TMI 2010»
13 years 7 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern