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Moving target detection approach based on spatio-temporal salient perception
- Source :
- Optik. 125:6681-6686
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- The differences in texture and motion between man-made object and natural scene are the key features for human biological visual system to detect moving object in scenery. The paper proposed a moving target detection approach based on spatio-temporal perception, which is a crucial function of the visual attention mechanism. The spatial feature including edge, orientation, texture and contrast of the image are extracted, and then the corresponding spatial salient map are constructed by fusing the features through difference of Gaussian (DOG) function, which can suppress the common and enhance the difference of local region. Then, the global motion, local motion and relative motion between continuous images are extracted by means of pyramid multi-resolution, and the moving salient map is constructed after the motion difference between moving target and background is confirmed. Finally, the spatio-temporal salient map is constructed by fusing the spatial salient map and the moving salient map through competition strategy, and the moving target could be detected by searching the maximum in the spatio-temporal salient map. Some experiments are included and the results show that the method can accurately detect the moving target in complex background.
- Subjects :
- Difference of Gaussians
Orientation (computer vision)
Computer science
business.industry
media_common.quotation_subject
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Object (computer science)
Atomic and Molecular Physics, and Optics
Motion (physics)
Electronic, Optical and Magnetic Materials
Feature (computer vision)
Salient
Perception
Visual attention
Contrast (vision)
Computer vision
Pyramid (image processing)
Artificial intelligence
Electrical and Electronic Engineering
business
Remote sensing
media_common
Subjects
Details
- ISSN :
- 00304026
- Volume :
- 125
- Database :
- OpenAIRE
- Journal :
- Optik
- Accession number :
- edsair.doi...........f4bbf4636c9e192cece945e04d7bdc78