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12 May 2022 Research on vehicle target recognition based on infrared image processing
Junbo Liao, Hongxue Yuan, Yanbiao Li, Shunshan Geng
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Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731F (2022) https://doi.org/10.1117/12.2634878
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China
Abstract
Traditional vehicle target recognition technology mainly uses artificial or artificial intelligence methods for recognition in the visible light band. Aiming at the problems of low level of intelligence and low efficiency of vehicle recognition at night and low visibility, an improved SVM recognition algorithm based on infrared images is proposed. In this research, the infrared images of small vehicles, medium vehicles and large vehicles at night are used as the object, and the infrared characteristic information of vehicles is extracted based on the histogram of directional gradient (HOG), and the internal parameters are optimized by improving the support vector machine. After the algorithm is trained, the accurate recognition rate of all vehicles can reach 98%, and the effect of the improved algorithm is significantly better than that of the unimproved algorithm, which provides a certain reference for the application of machine learning in vehicle target recognition.
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Junbo Liao, Hongxue Yuan, Yanbiao Li, and Shunshan Geng "Research on vehicle target recognition based on infrared image processing", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731F (12 May 2022); https://doi.org/10.1117/12.2634878
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KEYWORDS
Target recognition
Infrared imaging
Genetic algorithms
Infrared radiation
Image processing
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