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Intrinsic image based moving object cast shadow removal in image sequences
- Source :
- DICTA
- Publication Year :
- 2011
- Publisher :
- US : IEEE, 2011.
-
Abstract
- The goal in this paper is to detect and remove shadows of moving objects in colour image sequences. The method works by deriving the shadow edges of a 3-band colour image, integrating edge information temporally in the image sequence, and subsequently removing these shadows by a method paralleling reflectance recovery by entropy minimisation. The method incorporates background subtraction information and extensive edge-linking morphology to detect superior shadow edges. This integration has greatly increased the scope of applicability and brought about significant enhancements in the recovered shadow-free images and the time of processing. Shadows in the frames of image sequences are shown to be significantly attenuated. At present the implementation runs about 4 frames per second and can serve as a good utility in improving the performance of high level algorithms in scene monitoring. Refereed/Peer-reviewed
- Subjects :
- Background subtraction
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
edge-linking morphology
Frame rate
shadow detection
Edge detection
Object detection
Cast shadow
Entropy (information theory)
Computer vision
Minification
Artificial intelligence
business
intrinsic image
Mathematics
Camera resectioning
ComputingMethodologies_COMPUTERGRAPHICS
entropy minimization
background subtraction
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- DICTA
- Accession number :
- edsair.doi.dedup.....b94a1e61c38228cc3fa6c9d74fb829f7