Real-time infrared target detection based on center points

1.Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China;2.School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

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Supported by Shanghai Key Laboratory of Criminal Scene Evidence funded Foundation(2017xcwzk08)

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    A real-time target detection method based on center points is proposed for infrared imaging systems equipped with CPUs. Following the lightweight design principles, a backbone with low computational cost is first introduced for feature extraction. Correspondingly, an efficient feature fusion module is designed to exploit spatial and contextual information extracted from multi-stages. In addition, an auxiliary background suppression module is proposed to predict foreground regions to enhance the feature representation. Finally, a simple detection head predicts the target center point and its associated properties. Evaluations on the infrared aerial target dataset show that our proposed method achieves 90.24% mAP at a speed of 21.69 ms per frame on the CPU. It surpasses the state-of-the-art Tiny-YOLOv3 by 10.16% mAP with only 21% FLOPs and 11% parameters while also runs 10.02 ms faster. The results demonstrate its great potential for real-time infrared applications.

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MIAO Zhuang, ZHANG Yong, LI Wei-Hua. Real-time infrared target detection based on center points[J]. Journal of Infrared and Millimeter Waves,2021,40(6):858~864

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  • Received:February 16,2021
  • Revised:December 14,2021
  • Adopted:April 13,2021
  • Online: November 29,2021
  • Published: