VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Automatic acquisition and initialization of articulated models
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
MRF-MAP-MFT visual object segmentation based on motion boundary field
Pattern Recognition Letters
Computer Vision and Image Understanding
Motion Analysis of Articulated Objects from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking based motion segmentation under relaxed statistical assumptions
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Piecewise-Smooth Dense Optical Flow via Level Sets
International Journal of Computer Vision
Computer Vision and Image Understanding
Video object tracking using adaptive Kalman filter
Journal of Visual Communication and Image Representation
EURASIP Journal on Applied Signal Processing
Combination of accumulated motion and color segmentation for human activity analysis
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Unsupervised mesh based segmentation of moving objects
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Segmentation and Tracking for Vision Based Human Robot Interaction
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Region-level motion-based foreground segmentation under a Bayesian network
IEEE Transactions on Circuits and Systems for Video Technology
Computer Vision and Image Understanding
Tracking based motion segmentation under relaxed statistical assumptions
Computer Vision and Image Understanding
Computer Vision and Image Understanding
GVE '07 Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering
A framework for unsupervised mesh based segmentation of moving objects
Multimedia Tools and Applications
Video-object segmentation and 3D-trajectory estimation for monocular video sequences
Image and Vision Computing
Region-Level motion-based foreground detection with shadow removal using MRFs
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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We present a multistage affine motion segmentation method that combines the benefits of the dominant motion and block-based affine modeling approaches. In particular, we propose two key modifications to a recent motion segmentation algorithm developed by Wang and Adelson (1994). 1) The adaptive k-means clustering step is replaced by a merging step, whereby the affine parameters of a block which has the smallest representation error, rather than the respective cluster center, is used to represent each layer; and 2) we implement it in multiple stages, where pixels belonging to a single motion model are labeled at each stage. Performance improvement due to the proposed modifications is demonstrated on real video frames