Automatic reconstruction of 3D human arm motion from a monocular image sequence
Machine Vision and Applications
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Parameterized modeling and recognition of activities
Computer Vision and Image Understanding
Empirical Bayesian Motion Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Estimating anthropometry and pose from a single uncalibrated image
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
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)
Singularity Analysis for Articulated Object Tracking
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Cardboard People: A Parameterized Model of Articulated Image Motion
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Virtual 3D Blackboard: 3D Finger Tracking Using a Single Camera
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Multiple Cues used in Model-Based Human Motion Capture
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A Robust Motion Estimation and Segmentation Approach to Represent Moving Images with Layers
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Monocular tracking of the human arm in 3D
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Tracking human walking in dynamic scenes
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Monocular Perception of Biological Motion Detection and Labeling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Experimental evaluation of vision and speech based multimodal interfaces
Proceedings of the 2001 workshop on Perceptive user interfaces
Motion segmentation by multistage affine classification
IEEE Transactions on Image Processing
Shape-From-Silhouette Across Time Part I: Theory and Algorithms
International Journal of Computer Vision
International Journal of Computer Vision
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
Vision-based human motion analysis: An overview
Computer Vision and Image Understanding
Incremental discovery of object parts in video sequences
Computer Vision and Image Understanding
Learning to Look at Humans -- What Are the Parts of a Moving Body?
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Affine warp propagation for fast simultaneous modelling and tracking of articulated objects
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Upper body tracking for interactive applications
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
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Tracking, classification and visual analysis of articulated motion is challenging because of the difficulties involved in separating noise and variabilities caused by appearance, size and viewpoint fluctuations from task-relevant variations. By incorporating powerful domain knowledge, model-based approaches are able to overcome these problem to a great extent and are actively explored by many researchers. However, model acquisition, initialization and adaptation are still relatively under-investigated problems, especially for the case of single-camera systems.In this paper, we address the problem of automatic acquisition and initialization of articulated models from monocular video without any prior knowledge of shape and kinematic structure. The framework is applied in a human-computer interaction context where articulated shape models have to be acquired from unknown users for subsequent limb tracking. Bayesian motion segmentation is used to extract and initialize articulated models from visual data. Image sequences are decomposed into rigid components that can undergo parametric motion. The relative motion of these components is used to obtain joint information. The resulting components are assembled into an articulated kinematic model which is then used for visual tracking, eliminating the need for manual initialization or adaptation. The efficacy of the method is demonstrated on synthetic as well as natural image sequences. The accuracy of the joint estimation stage is verified on ground truth data.