Referenced Items are not available for this document.
Proposes a visual nervous network for moving object recognition. This network is based on a visual neural net which has a hierarchical parallel structure. The network consists of three modules: the movement detection module, the moving object estimation module and the moving object recognition module. The movement detection module detects moving points and their direction. The moving object estimation module estimates the moving object based on motion features. The moving object recognition module recognizes the moving object based on its form feature. The network is able to recognize moving objects by uniting motion recognition and pattern recognition. We carried out computer simulations using real moving images to confirm the effectiveness of the proposed network
Published in:
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
(Volume:4
)
Date of Conference: 2000
- Page(s):
- 2557 - 2562 vol.4
- Meeting Date :
- 08 Oct 2000-11 Oct 2000
- ISSN :
- 1062-922X
- Print ISBN:
- 0-7803-6583-6
- INSPEC Accession Number:
- 6778085
- Conference Location :
- Nashville, TN
- Digital Object Identifier :
- 10.1109/ICSMC.2000.884378
- Product Type:
- Conference Publications
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