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Impolite Pedestrian Detection by Using Enhanced YOLOv3-Tiny

Journal on Artificial Intelligence 2020年第3期2卷 113-124页

作者： Yanming Wang Kebin Jia Pengyu Liu Faculty of Information Technology Beijing University of TechnologyBeijing100124China Beijing Laboratory of Advanced Information Networks Beijing100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124China

In recent years,the problem of“Impolite Pedestrian”in front of the zebra crossing has aroused widespread concern from all walks of *** traffic sector’s governance measures have become more *** traditional way of governance is on-site law enforcement,which requires a lot of manpower and material resources and is low *** enhanced YOLOv3-tiny model is proposed for pedestrians and vehicle detection in traffic *** modifying the backbone network structure of YOLOv3-tiny model,introducing deep detachable convolution operation,and designing the basic residual block unit of the network,the feature extraction ability of the backbone network is *** improved model is trained on the VOC2007+VOC2012 training set,and the trained model is tested for performance on the test data *** experimental results show that:the mean Average Precision(mAP)increased from 0.672 to 0.732,increasing the measurement accuracy by 9%.The Intersection over Union(IoU)increased from 0.783 to 0.855,increasing the coverage accuracy by 7.2%.The enhanced YOLOv3-tiny model has higher measurement accuracy than the original *** this model to the 1080P traffic video on the NVIDIA RTX 2080,the detection speed is 150 FPS,which can fully achieve real-time *** the analysis of pedestrians and vehicle coordinates,it is judged whether or not illegal acts *** illegal vehicles,save three pictures as the basis for law enforcement,which forms an important supplement to off-site law enforcement.

关键词： Impolite pedestrian YOLOv3-tiny deep detachable convolution residual block off-site law enforcement

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