Weijie Jiang
ABSTRACT
With the development of traffic system, real-time monitoring and accurate identification of road traffic conditions become increasingly important. This paper proposes an intelligent traffic monitoring solution based on YOLOv5 algorithm in visible light imaging system, aiming at improving the NMS algorithm of YOLOv5 algorithm by selecting appropriate activation function, improving IoU algorithm used in screening candidate boxes, and improving the recognition accuracy of the whole algorithm for complex road conditions, so as to improve the detection effect of the whole system. Finally, two data sets are selected for model learning and testing. it is verified that the recognition accuracy of the improved algorithm is improved by about 2.5 percentage points compared with the original YOLOv5 algorithm.
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