Paper
21 May 2011 The research on infrared small-target detection technology under complex background
Lei Liu, Xin Wang, Jilu Chen, Zhijian Huang
Author Affiliations +
Abstract
In this paper, some basic principles and the implementing flow charts of a series of algorithms for target detecting are described. Then, according to actual needs and the comparison results of those algorithms, some of them are optimized in combination with the image pre-processing. On the foundation of above works, a moving target detecting and tracking software base on the OpenCV is developed by the software developing platform MFC. Three kinds of detecting algorithms are integrated in this software. These three detecting algorithms are Frame Difference method, Background Estimation method and Mixture Gaussian Modeling method. In order to explain the software clearly, the framework and the function are described in this paper. At last, the implementing processes and results are analyzed, and those algorithms for detecting targets are evaluated from the two aspects of subjective and objective. This paper is very significant in the application of the infrared target detecting technology.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Liu, Xin Wang, Jilu Chen, and Zhijian Huang "The research on infrared small-target detection technology under complex background", Proc. SPIE 8012, Infrared Technology and Applications XXXVII, 80123L (21 May 2011); https://doi.org/10.1117/12.882405
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KEYWORDS
Target detection

Video

Infrared radiation

Infrared detectors

Image segmentation

Infrared imaging

Detection and tracking algorithms

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