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Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System
- Source :
- Computational Intelligence and Neuroscience, Computational Intelligence and Neuroscience, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Publishing Corporation, 2016.
-
Abstract
- This paper proposes an adaptive shape kernel-based mean shift tracker using a single static camera for the robot vision system. The question that we address in this paper is how to construct such a kernel shape that is adaptive to the object shape. We perform nonlinear manifold learning technique to obtain the low-dimensional shape space which is trained by training data with the same view as the tracking video. The proposed kernel searches the shape in the low-dimensional shape space obtained by nonlinear manifold learning technique and constructs the adaptive kernel shape in the high-dimensional shape space. It can improve mean shift tracker performance to track object position and object contour and avoid the background clutter. In the experimental part, we take the walking human as example to validate that our method is accurate and robust to track human position and describe human contour.
- Subjects :
- General Computer Science
Article Subject
General Mathematics
Video Recording
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
lcsh:Computer applications to medicine. Medical informatics
Tracking (particle physics)
Sensitivity and Specificity
lcsh:RC321-571
Pattern Recognition, Automated
03 medical and health sciences
0302 clinical medicine
Position (vector)
Artificial Intelligence
Active shape model
Image Interpretation, Computer-Assisted
0202 electrical engineering, electronic engineering, information engineering
Humans
Computer vision
Mean-shift
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Mathematics
ComputingMethodologies_COMPUTERGRAPHICS
business.industry
General Neuroscience
Reproducibility of Results
Robotics
General Medicine
Object (computer science)
Kernel (statistics)
Subtraction Technique
lcsh:R858-859.7
Clutter
020201 artificial intelligence & image processing
Artificial intelligence
business
030217 neurology & neurosurgery
Algorithms
Locomotion
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 16875265
- Database :
- OpenAIRE
- Journal :
- Computational Intelligence and Neuroscience
- Accession number :
- edsair.doi.dedup.....954146f35b85f983d4c8281ac19b9f63
- Full Text :
- https://doi.org/10.1155/2016/6040232