南京航空航天大学学报（英文版）2022，Vol.39Issue(4)：434-449,16.
融合热特征的机场航站楼热成像显著人体检测模型
Thermal Infrared Salient Human Detection Model Combined with Thermal Features in Airport Terminal
摘要
Abstract
Target detection in low light background is one of the main tasks of night patrol robots for airport terminal. However,if some algorithms can run on a robot platform with limited computing resources,it is difficult for these algorithms to ensure the detection accuracy of human body in the airport terminal. A novel thermal infrared salient human detection model combined with thermal features called TFSHD is proposed. The TFSHD model is still based on U-Net,but the decoder module structure and model lightweight have been redesigned. In order to improve the detection accuracy of the algorithm in complex scenes,a fusion module composed of thermal branch and saliency branch is added to the decoder of the TFSHD model. Furthermore,a predictive loss function that is more sensitive to high temperature regions of the image is designed. Additionally,for the sake of reducing the computing resource requirements of the algorithm,a model lightweight scheme that includes simplifying the encoder network structure and controlling the number of decoder channels is adopted. The experimental results on four data sets show that the proposed method can not only ensure high detection accuracy and robustness of the algorithm,but also meet the needs of real-time detection of patrol robots with detection speed above 40 f/s.关键词
热成像图像/人体检测/显著性/热特征图/轻量化模型Key words
thermal infrared image/human body detection/saliency/thermal features/lightweight model分类
信息技术与安全科学引用本文复制引用
於跃成,刘畅,汪川,史金龙..融合热特征的机场航站楼热成像显著人体检测模型[J].南京航空航天大学学报（英文版）,2022,39(4):434-449,16.基金项目
This work was supported in part by the National Key Research and Development Program of China(No.2018YFC0309104),and the Construction Sys?tem Science and Technology Project of Jiangsu Province(No.2021JH03). （No.2018YFC0309104）
