CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Learning the Statistics of People in Images and Video
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Generative modeling for continuous non-linearly embedded visual inference
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning Appearance Manifolds from Video
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Priors for People Tracking from Small Training Sets
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D People Tracking with Gaussian Process Dynamical Models
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Inferring 3D body pose from silhouettes using activity manifold learning
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Kinematic jump processes for monocular 3D human tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Recover human pose from monocular image under weak perspective projection
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Monocular tracking of 3d human motion with a coordinated mixture of factor analyzers
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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Of different learning-based methods in human tracking, many state of-the-art approaches have been dedicated to reduce the dimensionality of the pose state space in order to avoid complex searching in a high dimensional state space. Seldom research on human tracking refers shared latent model. In this paper, We propose a method of shared latent dynamical model (SLDM) for human tracking from monocular images. The shared latent variables can be determined easily if state vectors and observation vectors are statistically independent.With a SLDM prior over state space and observation space, our approach can be integrated into a Bayesian tracking framework of Condensation, and further a scheme of variance feedback is designed to avoid mis-tracking. Experiments using simulations and real images demonstrate this human tracking method is very efficient and promising.