基于HOG+AdaBoost算法的車輛盲區(qū)行人檢測方法

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關(guān)鍵詞：車輛盲區(qū)檢測；HOG特征提取算法；AdaBoost算法；行人檢測中圖分類號：U472.9 收稿日期：2025-04-18 DOI： 10.19999/j.cnki.1004-0226.2025.08.008

Vehicle Blind Spot Pedestrian Detection System Based on HOG + AdaBoost Algorithm

Meng TiancilGong Baichuan2

1.School of Electronic and Information Enginering，Huaibei Institute of Technology，Huaibei 235ooo，China ！.Schoolof Electromechonical Engineering and Architecture，Huaibei Instituteof Technology，Huaibei 235oo，China

Abstract：Aimingatthproblemoffrequentraficaccidentscausedbyvehicleblindspots，thispaperproposesapedestriandetec tion method in vehicle blind spots based on HOG+ AdaBoost algorithm.Firstly，the HOG feature extraction algorithm is used to extract pedestrianfeaturesandvehiclefeatures.AndthenthesamplesaeclasifiedndtraiedbyAdaBostalgorithm.Tusefectivelydistinguishthehumanobjectfromthevehiclebackgroundarea.Theexperimentalrsultsshowthattheproposedalgorithmhashigherdetectionaccuracythantheexistingalgorithms，andeectivelyreducestheriskofblindareaacidentsduringlanechangeandtuing.

Keywords：Vehicleblindspotdetection;HOG featureextractionalgorithm;AdaBoostalgorithm;Pedestriandetection

1前言

隨著汽車普及率的提高，交通事故的發(fā)生率也越來越高。（剩余3906字）