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14 October 2022 Method of cat-eye effect target recognition based on dual-spectral imaging and deep learning
Zhao Zhang, Dalin Song, Bingshi Xu, Junyuan Han, Junyuan Han, Yifei Zhao, Jiazhuo Chen
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Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123432Z (2022) https://doi.org/10.1117/12.2649475
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China
Abstract
Some criminals use cameras to steal secrets and privacy in order to make huge profits. The improper use of cameras has brought great losses to the country and the people. However, the current camera detection method based on the cat-eye effect is easily affected by the reflection of the background, resulting in false alarms and affecting the discrimination of the target. In order to improve the accuracy of cat-eye target recognition in complex backgrounds, this paper proposes a new method of cat-eye target recognition based on the fusion of dual-spectral imaging and deep learning according to the imaging characteristics of cat-eye effect echo, background and noises. The method of dual-spectral frame difference is used to filter out the background interference. Then we combine the knowledge of machine vision and deep learning to realize the cat-eye target recognition through the recognition threshold and machine discrimination. An experimental system is established in this paper. The result shows that this method can effectively suppress background interference in the recognition of close-range cat-eye targets, and has the advantages of high detection accuracy and fast recognition speed.
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Zhao Zhang, Dalin Song, Bingshi Xu, Junyuan Han, Junyuan Han, Yifei Zhao, and Jiazhuo Chen "Method of cat-eye effect target recognition based on dual-spectral imaging and deep learning", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123432Z (14 October 2022); https://doi.org/10.1117/12.2649475
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KEYWORDS
Target recognition
Target detection
Cameras
Detection and tracking algorithms
Feature extraction
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