Back to Search
Start Over
Video Object Segmentation by Integrating Motion Information and Gradient Compensation without Background Construction
- Source :
- HIS (1)
- Publication Year :
- 2009
- Publisher :
- IEEE, 2009.
-
Abstract
- This paper proposes an effective method for video object segmentation without background construction. In the proposed method, the coarse foreground extraction and fine foreground extraction are obtained using the motion information, edge information, and gradient-variation information which are first evaluated by two successive frames. Next, the video object is extracted using the horizontal/vertical filling scheme based on the coarse foreground extraction and fine foreground extraction. Finally, video object refining is used to obtain the more accurate video object. Experimental results show that the proposed method has good performance in sensitivity, specificity, and spatial accuracy.
- Subjects :
- Pixel
business.industry
Computer science
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
Image segmentation
Object (computer science)
Compensation (engineering)
Video tracking
Computer vision
Segmentation
Sensitivity (control systems)
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2009 Ninth International Conference on Hybrid Intelligent Systems
- Accession number :
- edsair.doi...........a81184efbb4f7d510a2d3c371757b776