数据采集与处理2016，Vol.31Issue(6)：1115-1126,12.
基于跟踪算法和模糊推理的交通事件检测方法
Freeway Incident Detection Algorithm Based on Video Tracking and Fuzzy Inference
摘要
Abstract
Aiming that highway incidents are apt to cause massive congestion ,a video‐based rapid detec‐tion algorithm for fast feedback event information is proposed .Firstly ,the smoothing sequence method is used to get the background ,and the background differencing method is utilized to obtain the foreground target .Secondly ,using convex hull share on detecting occlusion ,the car with the modified Kalman filter feature matching algorithm is tracked .Finally ,through detecting the traffic flow speed and flow ,the map relationships between speed ,flow and the states of traffic flow is built .The fuzzy inference method is used to detect the traffic incident .Experimental results show that the method could obtain accurate pros‐pect information ,and it is applicable and high time‐efficiency for traffic incident detection on the freeway .关键词
基于视频/卡尔曼滤波/模糊推理/交通事件检测Key words
video-based/Kalman filter/fuzzy inference/traffic incident detection分类
信息技术与安全科学引用本文复制引用
朱文兴,刘晓亮,赵成龙..基于跟踪算法和模糊推理的交通事件检测方法[J].数据采集与处理,2016,31(6):1115-1126,12.基金项目
国家自然科学基金（61174175）资助项目；济南市科技发展计划（201118006，201201022）资助项目。 （）
