Visual tracking of a stochastically mobile object
Visual tracking of a stochastically mobile object
- New search for: Fazhen Yi,
- New search for: Yonglin Jiang,
- New search for: Jincheng Li,
- New search for: Fazhen Yi,
- New search for: Yonglin Jiang,
- New search for: Jincheng Li,
In this paper, a model-based image recognition method is studied, which can track an object with an unpredictable motion and changeable image shapes by using genetic algorithm searching techniques on the unprocessed raw images. We take the advantages of genetic algorithm's global and parallel searching ability by coding the target's image information into genes of genetic algorithm's chromosomes. Some context information of the target, such as neighborhood principle between consecutive image frames, is also used to enhance the matching algorithm's robustness and reduce its computation time. The feather tracking practices show that this method works.
Document information
Visual tracking of a stochastically mobile object
2006-01-01
3131420 byte
Conference paper
Electronic Resource
English
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