Integrated Person Tracking Using Stereo, Color, and Pattern Detection
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Model-Based Estimation of 3D Human Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient greedy learning of Gaussian mixture models
Neural Computation
Real-Time Tracking of Articulated Human Models Using a 3D Shape-from-Silhouette Method
RobVis '01 Proceedings of the International Workshop on Robot Vision
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Tracking a Person with 3-D Motion by Integrating Optical Flow and Depth
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Automated Body Modeling from Video Sequences
MPEOPLE '99 Proceedings of the IEEE International Workshop on Modelling People
A Model Driven 3D Image Interpretation System Applied to Person Detection in Video Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Full Body Tracking from Multiple Views Using Stochastic Sampling
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Recovering 3D Human Pose from Monocular Images
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
Temporal motion models for monocular and multiview 3D human body tracking
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
3D Skeleton-Based Body Pose Recovery
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Curve-Skeleton Properties, Applications, and Algorithms
IEEE Transactions on Visualization and Computer Graphics
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Model Driven Segmentation of Articulating Humans in Laplacian Eigenspace
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exploiting motion correlations in 3-D articulated human motion tracking
IEEE Transactions on Image Processing
International Journal of Computer Vision
Towards a low cost multi-camera marker based human motion capture system
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
3D human motion tracking based on a progressive particle filter
Pattern Recognition
Action and gait recognition from recovered 3-D human joints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Human tracking using convolutional neural networks
IEEE Transactions on Neural Networks
Computer Vision and Image Understanding
3D human pose recovery from image by efficient visual feature selection
Computer Vision and Image Understanding
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Multi-view 3D Human Pose Estimation in Complex Environment
International Journal of Computer Vision
Principal direction analysis-based real-time 3D human pose reconstruction from a single depth image
Proceedings of the Fourth Symposium on Information and Communication Technology
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We present a system for human pose estimation from synchronized multiview images. The system uses an analysis-by-synthesis approach with a skeleton model. This approach is powerful, but may present issues with its potentially huge search space. We adopt a hierarchical method where the head and torso are found first based on template fitting. The detection of the other parts then proceeds with the shoulders and hips to locate the anchor points of the limbs. Subsequently, a hierarchical fitting technique is used to estimate the location of the limbs. The parameter space is then partitioned, which dramatically reduces the complexity of pose estimation. Another difficulty of this system is to find adequate measurements which are used to fit the skeleton model. A multi-cue 3D fusion method is proposed for this purpose. It starts with extracting a set of cues from synchronized multiview images which exploit geometric and color information, and they are then integrated into a 3D representation, called a ''part template''. The experiments show that this system reliably performs on sequences that include unconstrained motions, such as those that are fast or unpredictable, and is also robust to several common issues associated with input data, such as image noise and self-contact.