基于运动矢量空间编码的视频监控动态目标检测方法  

Dynamic object detection method of video surveillance based on motion vector space coding

作　　者：潘德伦 冀隽 张跃进[3] PAN De-lun;JI Jun;ZHANG Yue-jin(Information Network Center,Beijing Sport University,Beijing 100084,China;Library,Beijing Sport University,Beijing 100084,China;School of Information Engineering,East China Jiaotong University,Nanchang 330013,China)

机构地区：[1]北京体育大学信息网络中心,北京100084 [2]北京体育大学图书馆,北京100084 [3]华东交通大学信息工程学院,南昌330013

出　　处：《吉林大学学报（工学版）》2021年第4期1370-1374,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(11862006,61105015);江西省交通运输厅项目(2018X0016).

摘　　要：针对当前视频监控动态目标检测过程中因忽略了目标位置的预估计而导致检测耗时较长、检测误差较大的问题,提出了基于运动矢量空间编码的视频监控动态目标检测方法。通过运动矢量空间编码方法进行背景建模,采用基于卡尔曼滤波器的CamShift目标跟踪算法检测目标,并对下一时刻目标的搜索范围和出现位置进行估计,通过CamShift结合估计结果搜索目标的真实位置,并对目标搜索范围、加速度和速度进行修正,完成视频监控动态目标的检测。实验结果表明,本文方法的视频监控动态目标检测效率高、检测结果准确率高,验证了本文方法具有较强应用性。In the current video monitoring dynamic target detection process,the pre-estimation of the target position is ignored,which leads to a long detection time and a large detection error.To solve this problem,a dynamic target detection method for video surveillance based on motion vector space coding is proposed.Motion vector space coding method is applied for background modeling,CamShift target tracking algorithm based on kalman filter is used to detect the target,and estimate the search scope and the location of the target at the next appearing moment.CamShift is combined with estimation results to search the true location,correct the target search scope,acceleration and speed,thus,completing the video monitoring dynamic target detection.The experimental results show that the proposed method has high efficiency in detecting dynamic targets and high accuracy in detecting results.

关 键 词：运动矢量空间编码 视频监控 背景建模 动态目标检测 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]