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Optical Engineering

Recognition of interior photoelectric devices by using dual criteria of shape and local texture
Author(s): Feng Qian; Bao Zhang; Chuanli Yin; Mingyu Yang; Xiantao Li
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Paper Abstract

A necessity exists for the protection of people and their property against the unauthorized use of photoelectric devices. The retroreflection of optical systems can be utilized to detect and recognize photoelectric devices. The reduction of false alarms and processing speed are two crucial issues, particularly for interior applications involving complex scenes. Here, we propose a local texture criterion that determines the local maximum and local continuity of the reflections. A comprehensive evaluation method that combines a modified shape criterion and the local texture criterion to improve the recognition probability is also presented. A searching strategy for scanning and locating the target candidates with reduced time cost was used in laboratory experiments performed at operating distances of 2.2, 3.2, and 4.2 m with the presence of disturbing objects. The results demonstrated the practicability of the proposed method, its superior recognition probability over that of single-criterion methods, and its enhanced average processing speed in comparison with existing methods.

Paper Details

Date Published: 21 December 2015
PDF: 10 pages
Opt. Eng. 54(12) 123110 doi: 10.1117/1.OE.54.12.123110
Published in: Optical Engineering Volume 54, Issue 12
Show Author Affiliations
Feng Qian, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chinese Academy of Sciences (China)
Bao Zhang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chuanli Yin, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Mingyu Yang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chinese Academy of Sciences (China)
Xiantao Li, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chinese Academy of Sciences (China)


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