Pedestrian action recognition in infrared image based on improved AlexNet

Dan Zhao; Yu-Rong Yue; Xuan Dong; Jia-Jia Gong; Yu-Juan Wang; Gaurav Barnawal; Wei Shan

doi:10.1117/12.2674593

23 May 2023 Pedestrian action recognition in infrared image based on improved AlexNet

Dan Zhao, Yu-Rong Yue, Xuan Dong, Jia-Jia Gong, Yu-Juan Wang, Gaurav Barnawal, Wei Shan

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043W (2023) https://doi.org/10.1117/12.2674593
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

Human action recognition is one of the core tasks in the field of computer aided driving. Considering that the auxiliary driving system requires high real-time, and the hardware requirements can not be too high, it is proposed to identify human behavior in a single image. Considering that the night illumination is insufficient, and the infrared camera receives the infrared radiation of the object, it can work at night without the influence of visible light. Therefore, we focus on the human behavior recognition in infrared images. According to the scale of the problem, we first use AlexNet with moderate network depth as the backbone network, then improve the network, modify the classification output layer of the network according to the classification number. After preprocessing the dataset to adapt to improve AlexNet, we trained and tested the network. The experimental results quantify the classification performance of the network. Experimental results show that the proposed algorithm mean average precision, average recall and F1 score are better than traditional methods.

Citation Download Citation

Dan Zhao, Yu-Rong Yue, Xuan Dong, Jia-Jia Gong, Yu-Juan Wang, Gaurav Barnawal, and Wei Shan "Pedestrian action recognition in infrared image based on improved AlexNet", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043W (23 May 2023); https://doi.org/10.1117/12.2674593

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