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18 February 2022 Research on fast detection algorithm of traffic road target
YouWei Zhu, Hao Zhou, Yan Wang, GuoWu Yuan
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Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 121621E (2022) https://doi.org/10.1117/12.2628110
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China
Abstract
Aimed at the characteristics of the diversity of traffic road targets and the complexity and variability of detection scenarios, it is difficult for general target detection algorithms to find an ideal balance between accuracy and speed, resulting in slower detection speed and higher false detection rate. An improved YOLOv4 traffic road target detection algorithm has been proposed to solve these problems. Firstly, a Context Exploitation method is introduced to reduce information loss at the highest level feature map in FPN. Secondly, the residual feature augmentation method is adopted to enhance the feature extraction of the convolutional layer of the YOLOv4 neck, which greatly improves the detection speed and also obtains an increase in accuracy. Finally, the augmented PANet is used to improve the feature fusion method and enhance the representation ability of the feature map. Compared with other classic methods on the VOC and TT100K datasets for road target detection, it is found that the improved YOLOv4 algorithm can effectively reduce the false detection rate of small targets and significantly improve the accuracy and speed of detection. Experimental results show that the improved YOLOv4 algorithm has an average accuracy of 2.42% higher than original YOLOv4 algorithm on detection, and the detection speed reaches 61.5 frames/s.
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YouWei Zhu, Hao Zhou, Yan Wang, and GuoWu Yuan "Research on fast detection algorithm of traffic road target", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 121621E (18 February 2022); https://doi.org/10.1117/12.2628110
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KEYWORDS
Target detection
Detection and tracking algorithms
Feature extraction
Target recognition
Image enhancement
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