Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Markov Random Fields with Efficient Approximations
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Unsupervised Semantic Object Segmentation of Stereoscopic Video Sequences
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2004 Papers
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
A Principled Approach to Detecting Surprising Events in Video
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2006 Papers
Probabilistic Fusion of Stereo with Color and Contrast for Bilayer Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-Based Modeling by Joint Segmentation
International Journal of Computer Vision
2D/3D freeview video generation for 3DTV system
Image Communication
Unsupervised multiple object segmentation of multiview images
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
External calibration of multi-camera system based on efficient pair-wise estimation
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Joint 3D-reconstruction and background separation in multiple views using graph cuts
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Soft Color Segmentation and Its Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Perceptually uniform color spaces for color texture analysis: an empirical evaluation
IEEE Transactions on Image Processing
Background Removal of Multiview Images by Learning Shape Priors
IEEE Transactions on Image Processing
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
Unsupervised extraction of visual attention objects in color images
IEEE Transactions on Circuits and Systems for Video Technology
Automatic body segmentation with graph cut and self-adaptive initialization level set (SAILS)
Journal of Visual Communication and Image Representation
On multi-view video segmentation for object-based coding
Digital Signal Processing
Saliency detection using joint spatial-color constraint and multi-scale segmentation
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
In this paper, we present an automatic algorithm to segment multiple objects from multi-view video. The Initial Interested Objects (IIOs) are automatically extracted in the key view of the initial frame based on the saliency model. Multiple objects segmentation is decomposed into several sub-segmentation problems, and solved by minimizing the energy function using binary label graph cut. In the proposed novel energy function, the color and depth cues are integrated with the data term, which is then modified with background penalty with occlusion reasoning. In the smoothness term, foreground contrast enhancement is developed to strengthen the moving objects boundary, and at the same time attenuates the background contrast. To segment the multi-view video, the coarse predictions of the other views and the successive frame are projected by pixel-based disparity and motion compensation, respectively, which exploits the inherent spatiotemporal consistency. Uncertain band along the object boundary is shaped based on activity measure and refined with graph cut, resulting in a more accurate Interested Objects (IOs) layer across all views of the frames. The experiments are implemented on a couple of multi-view videos with real and complex scenes. Excellent subjective results have shown the robustness and efficiency of the proposed algorithm.