Thermal infrared face detection method based on deep learning

Shijia Guo; Tianxu Zhang; Ting Guo

doi:10.1117/12.2622435

27 March 2022 Thermal infrared face detection method based on deep learning

Shijia Guo, Tianxu Zhang, Ting Guo

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121691V (2022) https://doi.org/10.1117/12.2622435
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

With the development of artificial intelligence and deep learning, visible face detection and recognition have always been a research hotspot. However, most visible face detection systems cannot detect and recognize faces without external illumination. Thermal infrared technology is the use of any object higher than absolute zero can emit different wavelengths of electromagnetic radiation, the use of different infrared radiation, an infrared thermal imager can transform the infrared radiation distribution of the object into an image, so it can run in the environment without light. In this paper, the real-time detection of multi-scale and multi-target in the field of view can be realized in the self-collected HUST-MIR Face Database. This method is based on a convolution neural network, which can realize fast and accurate face detection of the thermal infrared image.

Citation Download Citation

Shijia Guo, Tianxu Zhang, and Ting Guo "Thermal infrared face detection method based on deep learning", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121691V (27 March 2022); https://doi.org/10.1117/12.2622435

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