摘要
根据夜间运动车辆识别中存在的无法提取有效的车辆特征,提出了一种改进后的模糊约束满足的夜间运动车辆分类方法。通过对夜间交通监控视频中行驶车辆的车灯光的预处理,调整模糊约束问题算法中各类型车辆的隶属函数参数,从而从构造的车辆运动轨迹图像快速地识别出运动车辆的类型。实验结果表明,引入车辆灯光信息后夜间车辆类型识别准确率得到了一定的提高。
According to vehicle characteristics can not be extracted at night, a vehicle classification method based on improved fuzzy constraint satisfaction approach is proposed. Through analysis and pretreatment vehicle＇s lumps from monitor video at night, the membership function＇s parameters of fuzzy constraint algorithm were adjusted; thereby vehicle＇s types were recognized from the constructed motion trajectory image. The experimental result of the system shows that the accuracy of vehicle classfication was improved at night, when we involve vehicle lamp information.
出处
《中国图象图形学报》
CSCD
北大核心
2008年第8期1601-1607,共7页
Journal of Image and Graphics
关键词
模糊约束满足
夜间车辆类型识别
fuzzy constraints satisfaction, vehicle recognition at night
