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Proceedings Paper

Research on the algorithm of infrared target detection based on the frame difference and background subtraction method
Author(s): Yun Liu; Yuejin Zhao; Ming Liu; Liquan Dong; Mei Hui; Xiaohua Liu; Yijian Wu
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Paper Abstract

As an important branch of infrared imaging technology, infrared target tracking and detection has a very important scientific value and a wide range of applications in both military and civilian areas. For the infrared image which is characterized by low SNR and serious disturbance of background noise, an innovative and effective target detection algorithm is proposed in this paper, according to the correlation of moving target frame-to-frame and the irrelevance of noise in sequential images based on OpenCV. Firstly, since the temporal differencing and background subtraction are very complementary, we use a combined detection method of frame difference and background subtraction which is based on adaptive background updating. Results indicate that it is simple and can extract the foreground moving target from the video sequence stably. For the background updating mechanism continuously updating each pixel, we can detect the infrared moving target more accurately. It paves the way for eventually realizing real-time infrared target detection and tracking, when transplanting the algorithms on OpenCV to the DSP platform. Afterwards, we use the optimal thresholding arithmetic to segment image. It transforms the gray images to black-white images in order to provide a better condition for the image sequences detection. Finally, according to the relevance of moving objects between different frames and mathematical morphology processing, we can eliminate noise, decrease the area, and smooth region boundaries. Experimental results proves that our algorithm precisely achieve the purpose of rapid detection of small infrared target.

Paper Details

Date Published: 2 September 2015
PDF: 9 pages
Proc. SPIE 9596, Signal and Data Processing of Small Targets 2015, 959607 (2 September 2015); doi: 10.1117/12.2187230
Show Author Affiliations
Yun Liu, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Ming Liu, Beijing Institute of Technology (China)
Liquan Dong, Beijing Institute of Technology (China)
Mei Hui, Beijing Institute of Technology (China)
Xiaohua Liu, Beijing Institute of Technology (China)
Yijian Wu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 9596:
Signal and Data Processing of Small Targets 2015
Oliver E. Drummond; Richard D. Teichgraeber, Editor(s)

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