A multimodal learning interface for sketch, speak and point creation of a schedule chart
Proceedings of the 6th international conference on Multimodal interfaces
Proceedings of the 10th international conference on Intelligent user interfaces
Distributed pointing for multimodal collaboration over sketched diagrams
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Working with robots and objects: revisiting deictic reference for achieving spatial common ground
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Untethered robotic play for repetitive physical tasks
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
Video-guided motion synthesis using example motions
ACM Transactions on Graphics (TOG)
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
Real-time 3-D human body tracking using learnt models of behaviour
Computer Vision and Image Understanding
Human posture tracking and classification through stereo vision and 3D model matching
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
Fast nonparametric belief propagation for real-time stereo articulated body tracking
Computer Vision and Image Understanding
Tracking Human Motion with Multiple Cameras Using an Articulated Model
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Multicamera tracking of articulated human motion using shape and motion cues
IEEE Transactions on Image Processing
Gradient-enhanced particle filter for vision-based motion capture
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Automatic motion segmentation for human motion synthesis
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Cyclic articulated human motion tracking by sequential ancestral simulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Augmenting hand animation with three-dimensional secondary motion
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Three-dimensional proxies for hand-drawn characters
ACM Transactions on Graphics (TOG)
Nonlinear body pose estimation from depth images
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Multi-camera tracking of articulated human motion using motion and shape cues
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A geometric approach to robotic laundry folding
International Journal of Robotics Research
3D body pose estimation using an adaptive person model for articulated ICP
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Real-time human pose tracking from range data
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
A survey of human motion analysis using depth imagery
Pattern Recognition Letters
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Our paper addresses the problem of enforcing constraintsin human body tracking. A projection technique is derivedto impose kinematic constraints on independent multi-bodymotion: we show that for small motions the multi-body articulatedmotion space can be approximated by a linearmanifold estimated directly from the previous body pose.We propose a learning approach to model non-linear constraints;we train a support vector classifier from motioncapture data to model the boundary of the space of validposes. Linear and non-linear body pose constraints are enforcedby first projecting unconstrained motions onto thearticulated motion space and then optimizing to find pointson this linear manifold that lie within the non-linear constraintsurface modeled by the SVM classifier.