Improved YOLOX method for small target smoking detection algorithm

Yu-hang She; Xinchen Zhang

doi:10.1117/12.2681611

1 June 2023 Improved YOLOX method for small target smoking detection algorithm

Yu-hang She, Xinchen Zhang

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127181S (2023) https://doi.org/10.1117/12.2681611
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

Smoking is prohibited in many places. In order to detect smoking behaviour and make accurate judgments in a timely manner, machine vision technology is used to carry out research on the detection of small targets of cigarette sticks to improve the problem of difficult and inaccurate recognition of small targets in current detection algorithms and to improve the accuracy of cigarette sticks being recognized. In this study, we propose an improved method to detect smoking behaviour of Yolox based on the attention mechanism, in view of the fact that cigarette sticks occupy a very small part of the image and the presence of hand occlusion. The Attention mechanism module is added to the feature extraction network to focus on local information. Meanwhile, the use of the deep network is increased by adding a scale to focus attention within the target region; and the loss function is optimally replaced and the GIoU loss function is chosen to solve the drawback problem of IoU; experimental results show that the improved Yolox-c algorithm mAP reaches 95.96%, compared with Yolox and Yolov5 mAP, which are improved by 5.87% and 8.85%, respectively.

Citation Download Citation

Yu-hang She and Xinchen Zhang "Improved YOLOX method for small target smoking detection algorithm", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127181S (1 June 2023); https://doi.org/10.1117/12.2681611

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KEYWORDS

Target detection

Small targets

Detection and tracking algorithms

Performance modeling

Data modeling

Feature extraction

Ablation

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