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Proceedings Paper

Design of real-time multi-targets recognition system
Author(s): Shu-ying Yang; Shen-feng Zhang; Jun Hong; Pei-lian He
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Paper Abstract

To detect and recognize multi-targets in the sequence image tracking system a new method is proposed. Moving targets were separated from the background by difference of multi-frame. According to the dynamic threshold table the image was made binary, then invariant characteristics were extracted from every target. These characteristics were used for recognition of targets by BP neural network. The result of computer simulation shows that the method is practical and has high speed in detection and recognition for moving multi-targets.

Paper Details

Date Published: 3 November 2005
PDF: 9 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440B (3 November 2005); doi: 10.1117/12.652317
Show Author Affiliations
Shu-ying Yang, Tianjin Univ. (China)
Tianjin Univ. of Technology (China)
Shen-feng Zhang, Tianjin Univ. of Technology (China)
Jun Hong, Tianjin Univ. of Technology (China)
Pei-lian He, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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