Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
Perceptual user interfaces (introduction)
Communications of the ACM
Modeling people toward vision-based understanding of a Person's shape, appearance and movement
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
ACM Transactions on Graphics (TOG)
ACM Transactions on Graphics (TOG)
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral Visual Hulls for Real-Time Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
3D Body Reconstruction for Immersive Interaction
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
Tracking Points on Deformable Objects Using Curvature Information
ECCV '92 Proceedings of the Second European Conference on Computer Vision
The Representation and Recognition of Human Movement Using Temporal Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Invariant histograms and deformable template matching for SAR target recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Curves Matching Using Geodesic Paths
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Human Body Postures from Trinocular Camera Images
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Particle Filter with Analytical Inference for Human Body Tracking
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Shock Graphs and Shape Matching
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Proceedings of the ACM symposium on Virtual reality software and technology
Robust real-time upper body limb detection and tracking
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Applying 3D human model in a posture recognition system
Pattern Recognition Letters
Applying 3D human model in a posture recognition system
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
Shape-Based Human Activity Recognition Using Independent Component Analysis and Hidden Markov Model
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
View invariant gesture recognition using the CSEM SwissRanger SR-2 camera
International Journal of Intelligent Systems Technologies and Applications
View-Invariant Pose Recognition Using Multilinear Analysis and the Universum
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Real-Time Body Pose Recognition Using 2D or 3D Haarlets
International Journal of Computer Vision
Recognizing body poses using multilinear analysis and semi-supervised learning
Pattern Recognition Letters
Static and Dynamic Human Shape Modeling
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
Human behavior analysis based on a new motion descriptor
IEEE Transactions on Circuits and Systems for Video Technology
View-invariant human activity recognition based on shape and motion features
International Journal of Robotics and Automation
Multi-view gymnastic activity recognition with fused HMM
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Efficient upper body pose estimation from a single image or a sequence
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Independent shape component-based human activity recognition via Hidden Markov Model
Applied Intelligence
View-invariant gesture recognition using 3D optical flow and harmonic motion context
Computer Vision and Image Understanding
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
A new pose-based representation for recognizing actions from multiple cameras
Computer Vision and Image Understanding
Multifactor feature extraction for human movement recognition
Computer Vision and Image Understanding
A block-based model for monitoring of human activity
Neurocomputing
Human action recognition using multiple views: a comparative perspective on recent developments
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
Exploiting ambient illumination to locate and recognise user behaviour in enclosed environments
Personal and Ubiquitous Computing
Human activity recognition using multi-features and multiple kernel learning
Pattern Recognition
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In this paper we describe an approach for inferring thebody posture using a 3D visual-hull constructed from aset of silhouettes. We introduce an appearance-based,view-independent, 3D shape description for classifyingand identifying human posture using a support vectormachine. The proposed global shape description isinvariant to rotation, scale and translation and variescontinuously with 3D shape variations. This shaperepresentation is used for training a support vectormachine allowing the characterization of human bodypostures from the computed visual hull. The mainadvantage of the shape description is its ability to capturehuman shape variation allowing the identification of bodypostures across multiple people. The proposed method isillustrated on a set of video streams of body posturescaptured by four synchronous cameras.