摘要
提出了一种新的行驶车辆识别和车辆外观类型检测模型,核心思想是用车辆特征外观的紧凑原型用来对车辆的外观分布进行表述,对每个单独的外观原型区域,依靠简单的距离标准进行匹配,并将所得区域信息进行归纳整理并保存在特征库中,在车辆对象识别过程中依靠车辆外观对象的匹配数目和密度覆盖来获得外观相似度,最后通过设置外观匹配阈值来对车辆不同部分进行区分和识别。实验结果说明使用该监测模型能够方便有效的在多种天气环境下进行车辆的检测与识别。
This paper proposes a new model for vehicle detection.The main principles of this paper are to describe the distribution of vehicle appearance by using compact vehicle appearance prototypes to match the individual appearance prototype,and applying a simple distance standard,to collect and classify all the obtained regional information into feature library,to obtain the probability of similar appearance depending on the number of matched vehicle appearances and the density of coverage in target detection,and eventually to distinguish and recognize different parts of the vehicle appearances by setting the threshold.Experimental results show that the use of this detection model can facilitate and effective monitoring vehicle in varieties of weather conditions.
出处
《计算机系统应用》
2011年第7期199-202,132,共5页
Computer Systems & Applications
关键词
车辆检测
兴趣区域
外观特征
运行目标
特征指纹库
vehicle detection
region of interest
exterior features
motion target
regional fingerprint database
