| 一种基于HOG与SVM的监控视频车辆识别方法 |
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| 引用本文： | 王雪锋,叶飞.一种基于HOG与SVM的监控视频车辆识别方法[J].微型机与应用,2013,32(17):34-37. |
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| 作者姓名： | 王雪锋 叶飞 |
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| 作者单位： | 1. 江南大学物联网工程学院,江苏无锡,214122
2. 上海交通大学图像通信与网络工程研究所,上海,200240 |
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| 摘 要： | 针对基于监控视频的车辆检测识别问题，给出了一种基于视频监控的面包车识别算法。该方法对监控视频中已跟踪的车辆，提取车辆的方向梯度直方图（HOG）特征作为支持向量机（SVM）分类检测的输入，分类识别该车辆是否为面包车；通过车辆大小的检测，增强了分类识别算法的准确性与鲁棒性。实验证明，该方法能准确进行面包车的分类识别，基于实际的标清监控视频，面包车的分类准确率达到90％左右。
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| 关 键 词： | 监控视频 车型识别 方向梯度直方图 支持向量机 车辆大小检测 |
Microbus identifying of surveillance video based on HOG and SVM |
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| Wang Xuefeng
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Ye Fei.Microbus identifying of surveillance video based on HOG and SVM[J].Microcomputer & its Applications,2013,32(17):34-37. |
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| Authors: | Wang Xuefeng Ye Fei |
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| Affiliation: | School of loT Engineering, Jiangnan University ,Wuxi 214122, China ; 2.Institute of Image Communication and Network Engineering,Shanghai Jiao Tong University,Shanghai 200240,China) |
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| Abstract: | Identifying the type of vehicles using video or image is one of the hot spots in computer vision. This paper presents a microbus identifying system based on surveillance video. For one vehicle that have been tracked in a surveillance video, its HOG （Histogram of Direction Gradient） features are extracted firstly, which are then taken as the input of SVM （Support Vector Machine） based classifier to indentify its catalog： microbus or not. One size detection mechanism is developed in this system to improve the accuracy and robustness of the classifying. The experiments results show that this method can identify the microbus in the surveillance effectively. |
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| Keywords: | surveillance video microbus identifying system HOG SVM size detection |
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