Introduction to algorithms
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Markov random field modeling in computer vision
Markov random field modeling in computer vision
Color image processing and applications
Color image processing and applications
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Real-Time Process Algebra (RTPA)
Annals of Software Engineering
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Intensity and Motion for Incremental Segmentation and Tracking Over Long Image Sequences
ECCV '92 Proceedings of the Second European Conference on Computer Vision
What Energy Functions Can Be Minimized via Graph Cuts?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Learning a Classification Model for Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Bi-Layer Segmentation of Binocular Stereo Video
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ACM SIGGRAPH 2005 Papers
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Bilayer Segmentation of Live Video
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Cognitive Informatics in Automatic Pattern Understanding
COGINF '07 Proceedings of the 6th IEEE International Conference on Cognitive Informatics
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Learning compositional categorization models
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Cognitive informatics models of the brain
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper proposes a real-time scheme for object segmentation in video. In the first stage a segmentation based on pairwise region comparison is utilized to oversegment image through extracting superpixels. Next, the algorithmapplies the graph cut built on such superpixels, instead of the image pixels. Owing to the optimization is performed on a simpler graph and in consequence the object segmentation runs in shorter time. Tracking of object features over time contributes toward improved segmenting the object from one image to another. The segmentation information supports following the entire object, instead of just a few features on it. The objects are segmented correctly as complete entities, despite the high variability of the object shape and cluttered background. Experimental results illustrate the efficiency and effectiveness of the algorithm.