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Video object segmentation and its salient motion detection using adaptive background generation
- Source :
- Electronics Letters. 45:542
- Publication Year :
- 2009
- Publisher :
- Institution of Engineering and Technology (IET), 2009.
-
Abstract
- Video object segmentation often fails when the background and foreground contain a similar distribution of colours. Proposed is a novel image segmentation algorithm to detect salient motion under a complex environment by combining temporal difference and background generation. Experimental results show that the proposed algorithm provides a twice higher matching ratio than the conventional Gaussian mixture-based approaches under various conditions.
- Subjects :
- Segmentation-based object categorization
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
Image processing
Motion detection
Pattern recognition
Image segmentation
Salient
Motion estimation
Computer vision
Segmentation
Artificial intelligence
Electrical and Electronic Engineering
business
Mathematics
Subjects
Details
- ISSN :
- 00135194
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Electronics Letters
- Accession number :
- edsair.doi...........0eb84735b60ab6e48f8fee05d744c634