Numerical recipes: the art of scientific computing
Numerical recipes: the art of scientific computing
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Geometric Distance Fits for 3-D Object Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Multiple Stereo Views to Multiple 3-D Surfaces
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 Generalization of Algebraic Surface Drawing
ACM Transactions on Graphics (TOG)
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
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Real-Time Tracking of Multiple Articulated Structures in Multiple Views
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Fast Realistic Human Body Deformations for Animation and VR Applications
CGI '96 Proceedings of the 1996 Conference on Computer Graphics International
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
3D human body model acquisition from multiple views
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
3D Articulated Models and Multi-View Tracking with Silhouettes
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Articulated Soft Objects for Multiview Shape and Motion Capture
IEEE Transactions on Pattern Analysis and Machine Intelligence
A convex penalty method for optical human motion tracking
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Markerless tracking of complex human motions from multiple views
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Single view motion tracking by depth and silhouette information
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Model-based image segmentation for multi-view human gesture analysis
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Gradient-enhanced particle filter for vision-based motion capture
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
SMI 2011: Full Paper: Point set silhouettes via local reconstruction
Computers and Graphics
Monocular body pose estimation by color histograms and point tracking
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Nonlinear body pose estimation from depth images
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Tracking in object action space
Computer Vision and Image Understanding
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In this work, we introduce a model-based approach to extracting the silhouette of people in motion from stereo video sequences. To this end, we extend a purely stereo-based approach to tracking people proposed in earlier work. This approach is based on an implicit surface model of the body. It lets us accurately predict the silhouette's location and, therefore, detect them more robustly. In turn these silhouettes allow us to fit the model more precisely. This allows effective motion recovery, even when people are filmed against a cluttered unknown background. This is in contrast to many recent approaches that require silhouette contours to be readily obtainable using relatively simple methods, such as background subtraction, that typically require either engineering the scene or making strong assumptions.We demonstrate our approach's effectiveness using complex and fully three-dimensional motion sequences where the ability to combine stereo and silhouette information is key to obtaining good results.