Paper
3 November 2005 Design of real-time multi-targets recognition system
Shu-ying Yang, Shen-feng Zhang, Jun Hong, Pei-lian He
Author Affiliations +
Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60440B (2005) https://doi.org/10.1117/12.652317
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shu-ying Yang, Shen-feng Zhang, Jun Hong, and Pei-lian He "Design of real-time multi-targets recognition system", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440B (3 November 2005); https://doi.org/10.1117/12.652317
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KEYWORDS
Target recognition

Neural networks

Binary data

Platinum

Computer simulations

Image processing

Computing systems

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