基于HEVC的车辆异常事件检测  

Vehicle Abnormal Event Detection Based on High-Efficiency Video Coding

作　　者：常同伟 梁久祯[2] 吴秦 王念兵 Chang Tongwei;Liang Jiuzhen;Wu Qin;Wang Nianbing(Engineering Research Center of Internet of Things Technology Applications Ministry of Education,School of Internet of Things Engineering,Jiangnan University,Wuxi,214122,China;School of Information Science&Engineering,ChangzhouUniversity,Changzhou,213164,China)

机构地区：[1]江南大学物联网工程学院物联网技术应用教育部工程研究中心,无锡214122 [2]常州大学信息与工程学院,常州213164

出　　处：《数据采集与处理》2018年第2期370-378,共9页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61202312)资助项目;中央高校基本科研业务费专项资金(JUSRP51510)资助项目

摘　　要：当前传统交通事故检测和查阅主要通过人工监测的方法,这种方法效率低且实时性差,本文提出一种基于最新压缩域视频编码标准HEVC(High-efficiency video coding)的车辆异常事件检测方法。首先对HEVC码流中提取出的运动矢量信息进行运动矢量累积迭代和中值滤波的预处理,之后根据提取出的块划分信息和运动矢量信息计算运动对象的运动强度,然后根据运动强度值和八连通区域法提取出运动对象,最后根据空间距离法和运动强度判别法检测出视频序列中发生的车辆异常事件。实验证明,该方法可以准确地检测出视频序列中发生的车辆异常事件;对于有着快速移动的运动目标以及多个运动目标的视频效果更好。Traditional methods of traffic accident detection and review are mainly through manual monitoring.To overcome the low efficiency and poor performance of those methods,we proposed a vehicle abnormal event detection method based on the up-to-date video coding standard HEVC(High-efficiency video coding).Firstly,we extract the motion vector information from HEVC bit-stream to proceed cumulative iteration and median filtering.After that,we calculate the motion intensity value of the moving objects based on block partition and motion vector information,and then extract the moving targets according to the motion intensity value and eight-neighbored region method.Finally,we detect the vehicle abnormal events from the video sequence using the space distance and motion intensity evaluation method.Experimental results show that the proposed method can accurately detect the abnormal events in video sequence,especially for those videos with fast-moving objects and multiple moving targets.

关 键 词：HEVC 运动矢量 运动强度计算 运动对象提取 异常事件检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]