Infrared small target detection technology based on OpenCV

Lei Liu; Zhijian Huang

doi:10.1117/12.2030709

11 September 2013 Infrared small target detection technology based on OpenCV

Lei Liu, Zhijian Huang

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89070C (2013) https://doi.org/10.1117/12.2030709
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

Accurate and fast detection of infrared (IR) dim target has very important meaning for infrared precise guidance, early warning, video surveillance, etc. In this paper, some basic principles and the implementing flow charts of a series of algorithms for target detection are described. These algorithms are traditional two-frame difference method, improved three-frame difference method, background estimate and frame difference fusion method, and building background with neighborhood mean method. On the foundation of above works, an infrared target detection software platform which is developed by OpenCV and MFC is introduced. Three kinds of tracking algorithms are integrated in this software. In order to explain the software clearly, the framework and the function are described in this paper. At last, the experiments are performed for some real-life IR images. The whole algorithm implementing processes and results are analyzed, and those algorithms for detection targets are evaluated from the two aspects of subjective and objective. The results prove that the proposed method has satisfying detection effectiveness and robustness. Meanwhile, it has high detection efficiency and can be used for real-time detection.

Citation Download Citation

Lei Liu and Zhijian Huang "Infrared small target detection technology based on OpenCV", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89070C (11 September 2013); https://doi.org/10.1117/12.2030709

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KEYWORDS

Video

Target detection

Infrared radiation

Infrared detectors

Detection and tracking algorithms

Video processing

Infrared imaging

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