View-Invariant Representation and Recognition of Actions
International Journal of Computer Vision
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Actions Sketch: A Novel Action Representation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Learning Temporal Sequence Model from Partially Labeled Data
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
HMM-based Human Action Recognition Using Multiview Image Sequences
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Simultaneous Inference of View and Body Pose using Torus Manifolds
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Conditional models for contextual human motion recognition
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Visual-Based View-Invariant Human Motion Analysis: A Review
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
View independent human body pose estimation from a single perspective image
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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
Hierarchical recognition of daily human actions based on continuous hidden Markov models
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Learning dynamics for exemplar-based gesture recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
View-invariant modeling and recognition of human actions using grammars
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Modelling the effect of view angle variation on appearance-based gait recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Silhouette-Based method for object classification and human action recognition in video
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
| Hi-index | 0.00 |
An exemplar-based Hidden Markov Model is proposed for human action recognition from any arbitrary viewpoint image sequence. In this framework, human action is modelled as a sequence of body poses (i.e., exemplars) which are represented by a collection of silhouette images. The human actions are recognized by matching the observation image sequence to predefined exemplars, in which the temporal constraints were imposed in the exemplar-based Hidden Markov Model. The proposed method is evaluated in a public dataset and the result shows that it not only reduces computational complexity, but it also is able to accurately recognize human actions using single cameras.