计算机应用与软件Issue(2)：142-145,149,5.DOI:10.3969/j.issn.1000-386x.2016.02.034
基于轮廓矩和 Harris 角点混合特征的车型识别系统
VEHICLE RECOGNITION SYSTEM BASED ON MIXING CHARACTERISTICS OF CONTOUR MOMENT AND HARRIS CORNER
摘要
Abstract
Aiming at the situation that some simple and fast vehicle recognition systems can only get limited information of vehicles’ profiles and this increases the difficulty in vehicle recognition,we proposed a new mixed contour feature-based vehicles type recognition method.First,we obtained vehicles profiles as accurate as possible according to vehicle type recognition system.After simply pre-classifying them we extracted 7 contour moment invariants and the Harris corner features with strongest characterisation role from vehicles profiles.And then we conducted the feature-level fusion to fuse and compose these two features to the mixed feature.We inputted the new fused feature into RBF neural network for recognition training,experimental result showed that this method improved the recognition rate effectively while ensuring the rapid recognition speed.关键词
车型识别/轮廓矩/Harris 角点/特征融合/RBF/神经网络Key words
Vehicle type identification/Contour moment/Harris corners/Features fusion/RBF-neural network分类
信息技术与安全科学引用本文复制引用
张军,孙文本,杨正瓴..基于轮廓矩和 Harris 角点混合特征的车型识别系统[J].计算机应用与软件,2016,(2):142-145,149,5.基金项目
天津市科技支撑计划重点项目 （）
