基于改進Y0L0v10的輕量化交通流量檢測
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中圖分類號：TP391.4 文獻標識碼：A 文章編號：2096-4706（2025）08-0077-06
Abstract：Inorder tosolvetheshortcomingsoftraditional trafficflow statisticsalgorithms inreal-time，stabilityand accuracy，atargetdetectionalgorithmbasedonimprovedYOLOv10algorithm is proposed.TheimprovedYOLOv10algorithm is combined withDepSORTtracking technologytoconstructanew traffcflowstatisticalarchitecture.The traffcscene video oftheactualroadconditioniscollctedtoverifytheaccuracyofthe framework.Theexperimentalresultsshowthatcompared with the originalalgorithm，theaverage accuracyoftheimprovednewalgorithm invehicle detectionis improved by 1 % ，and the statistical accuracy of video traffic flow is improved by 3 . 4 6 %
Keywords： computer vision; traffc flow statistic; YOLO; DeepSORT; intelligent transportatiol
0 引言
在城市化進程持續(xù)推進的過程中，城市空間規(guī)模呈現(xiàn)出不斷增長的態(tài)勢。（剩余7527字）