Paper
3 November 2016 A fast detection method for small weak infrared target in complex background
Bo Lei, Bo Wang, Gangbo Sun, Yin Xu, Pu Hong, Chongcheng Liu, Song Yue
Author Affiliations +
Abstract
Small target is also weak target, which is likely to be a threat to the observation platform. So small target detection is an important task for many automatic object detection system. Otherwise, small target detection is a challenge for many complex scenes because of the low SNR and sophisticated background. This paper introduced a fast and effective method for small target detection in infrared scene with complex background, which is suitable for missile guidance and menace warning. Firstly, a template is created to detect the local maxima in the image. Secondly, a constrained double criteria region growth algorithm is performed to form separate regions. Finally, extracted regions are selected by a small round target filter, after which, the remaining connected regions are considered to be detected small targets. The proposed algorithm was applied on videos captured by cooled infrared imagers. Experimental results show the method introduced in this paper is efficient and effective, which is suitable for time sensitive automatic target detection.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Lei, Bo Wang, Gangbo Sun, Yin Xu, Pu Hong, Chongcheng Liu, and Song Yue "A fast detection method for small weak infrared target in complex background", Proc. SPIE 10030, Infrared, Millimeter-Wave, and Terahertz Technologies IV, 100301V (3 November 2016); https://doi.org/10.1117/12.2245912
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KEYWORDS
Target detection

Infrared radiation

Infrared imaging

Video

Detection and tracking algorithms

Infrared detectors

Missiles

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