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Proceedings Paper

Target recognition and tracking based on data fusion and data mining
Author(s): Jie Yang; Ying Hu; Guozheng Li
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Paper Abstract

A system for target recognition and tracking based on radar and infrared image sensors is presented, which can make use of the complement and redundancy of data from different sensors to improve the precision of target recognition and tracking and the robustness and reliability. For data fusion at characteristic level, characteristics of a target obtained from radar can be used in the IR image-based subsystem to improve the ability of object recognition, and vice versa. The process of target recognition based on IR image analysis is composed of image enhancement, image segmentation and recognition of segmented images. The recognition of segmented objects is divided into two classes: recognition of dot targets and area targets.

Paper Details

Date Published: 18 September 2001
PDF: 8 pages
Proc. SPIE 4556, Data Mining and Applications, (18 September 2001); doi: 10.1117/12.440293
Show Author Affiliations
Jie Yang, Shanghai Jiao Tong Univ. (China)
Ying Hu, Shanghai Jiao Tong Univ. (China)
Guozheng Li, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 4556:
Data Mining and Applications
Deren Li; Jie Yang; Jufu Feng; Shen Wei, Editor(s)

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