计算机工程2017，Vol.43Issue(5)：210-216,7.DOI:10.3969/j.issn.1000-3428.2017.05.034
基于LLC与加权SPM的车辆品牌型号识别
Vehicle Make and Model Recognition Based on LLC and Weighted SPM
摘要
Abstract
In order to enhance the robustness and the instantaneity of the traditional vehicle recognition algorithms,a fine vehicle make and model recognition algorithm is proposed by incorporating Locality-constrained Linear Coding (LLC) and the weighted Spatial Pyramid Matching(SPM) model.Firstly,the Histogram of Oriented Gradient(HOG) feature is extracted to obtain the image representation vector which improves the recognition accuracy.Then the weighted SPM is applied to integrate the spatial information of vehicle images into their final representation vector.Finally,the final representation of vehicle images generated by above steps is sent to a linear Support Vector Machine (SVM) classifier for training and testing.Experiments are conducted on 56 827 vehicle images coming from 150 vehicle makes and models which are captured by real-time traffic surveillance system in various weather conditions and illuminations.The results demonstrate that the proposed algorithm has better performance both in recognition accuracy and the recognition time.关键词
车辆品牌型号识别/方向梯度直方图/局部约束线性编码/加权空间金字塔匹配/支持向量机Key words
vehicle make and model recognition/Histogram of Oriented Gradient(HOG)/Locality-constrained Linear Coding (LLC)/weighted Spatial Pyramid Matching (SPM)/Support Vector Machine (SVM)分类
信息技术与安全科学引用本文复制引用
李熙莹,袁敏贤,吕硕,江倩殷..基于LLC与加权SPM的车辆品牌型号识别[J].计算机工程,2017,43(5):210-216,7.基金项目
国家科技支撑计划项目(2014BAG01B04). （2014BAG01B04）
