Performance of optical flow techniques
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Tracking and modeling people in video sequences
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Robot Vision
Image and Video Compression Standards: Algorithms and Architectures
Image and Video Compression Standards: Algorithms and Architectures
Spatio-temporal view interpolation
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Dynamic 3-D Scene Analysis Through Synthesis Feedback Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral Visual Hulls for Real-Time Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
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
Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
3D Articulated Models and Multi-View Tracking with Silhouettes
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
Constructing Virtual Worlds Using Dense Stereo
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
IEEE Transactions on Circuits and Systems for Video Technology
3D video: being part of the movie
ACM SIGGRAPH Computer Graphics
Combining 3D flow fields with silhouette-based human motion capture for immersive video
Graphical Models - Special issue on pacific graphics 2003
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
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
Performance characterization in computer vision: A guide to best practices
Computer Vision and Image Understanding
A real-time system for full body interaction with virtual worlds
EGVE'04 Proceedings of the Tenth Eurographics conference on Virtual Environments
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High-quality non-intrusive human motion capture is necessary for acquistion of model-based free-viewpoint video of human actors. Silhouette-based approaches have demonstrated that they are able to accurately recover a large range of human motion from multi-view video. However, they fail to make use of all available information, specifically that of texture information. This paper presents an algorithm that uses motion fields constructed from optical flow in multi-view video sequences.The use of motion fields augments the silhoutte-based method by incorporating texture-information into the tracking process. The algorithm is a key-component in a largerfree-viewpoint video system of human actors. Our results demonstrate that our method accurately estimates pose parameters and allows for realistic texture generation in 3D video sequences.