Active shape models—their training and application
Computer Vision and Image Understanding
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Reconstruction of articulated objects from point correspondences in a single uncalibrated image
Computer Vision and Image Understanding
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Shape Priors for Level Set Representations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Multi-Feature Hierarchical Template Matching Using Distance Transforms
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Detection of People Carrying Objects: A Motion-Based Recognition Approach
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Fast Pose Estimation with Parameter-Sensitive Hashing
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A System for Learning Statistical Motion Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
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
Carrying object detection using pose preserving dynamic shape models
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Pipeline-Architecture Based Real-Time Active-Vision for Human-Action Recognition
Journal of Intelligent and Robotic Systems
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Dynamic human shape in video contains rich perceptual information, such as the body posture, identity, and even the emotional state of a person. Human locomotion activities, such as walking and running, have familiar spatiotemporal patterns that can easily be detected in arbitrary views. We present a framework for detecting shape outliers for human locomotion using a dynamic shape model that factorizes the body posture, the viewpoint, and the individual's shape style. The model uses a common embedding of the kinematic manifold of the motion and factorizes the shape variability with respect to different viewpoints and shape styles in the space of the coefficients of the nonlinear mapping functions that are used to generate the shapes from the kinematic manifold representation. Given a corrupted input silhouette, an iterative procedure is used to recover the body posture, viewpoint, and shape style. We use the proposed outlier detection approach to fill in the holes in the input silhouettes, and detect carried objects, shadows, and abnormal motions.