Video Segmentation by MAP Labeling of Watershed Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
Layered Motion Segmentation and Depth Ordering by Tracking Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Step-by-step description of lateral interaction in accumulative computation
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Object segmentation in videos from moving camera with MRFs on color and motion features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Video segmentation algorithm based on modified Mumford-Shah functional
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
2D shape measurement of multiple moving objects by GMM background modeling and optical flow
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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The problem of segmenting an image sequence in terms of regions characterized by a coherent motion is among the most challenging in image sequence analysis. This paper proposes a new technique which sequentially refines the segmentation and the motion estimation by combining static segmentation and motion information. The motion is robustly computed by a global estimation which remove the camera motion, followed by a local estimation using a matching technique and a robust estimator. Simulation results show the efficiency of the proposed technique.