安防视频监控下的人群数目估计方法研究信息管理与电子政务专业论文.docxVIP

安防视频监控下的人群数目估计方法研究Estimation 安防视频监控下的人群数目估计方法研究 Estimation Method of the Crowd under Security Surveillance Video Abstract China is the most populous country in the world，with the”urbanization”process continues to accelerate，the rapid development of urban construction has led to a lack of overall construction process planning，caused the population of cities and industry too aggregation，which brought many unsafe factors，safety accident death rate to rise．How we live in a safer place，how to build a strong security network to ensure the safety of the city， it has become pressing need to resolve the matter．Through intelligent video surveillance monitoring for each region to provide real—time crowd number estimation can not only help the relevant departments for effective public safety maintenance of key areas，but also can improve the efficiency of their work，to the timely processing feedback；finally realizes safety accidents from the”post control”to”preventive”transformation．Therefore．the use of video surveillance carried out accurately and efficiently estimate the number of people become very meaningful． In this paper，the number of people at this stage for the estimation algorithm is studied through comparative analysis shows that the number of people directly estimation methods need to be very accurately detect pedestrians in the video can be accurately counted，and in the relatively large number of pedestrians or the crowd there lot of occlusion when the crowd hardly accurate single pedestrian detection，segmentation；estimation method for number of pixel statistic characteristics of the population based the algorithm is simple and easy to use，fast operation speed meet the real—time demand，in small number and effect under the condition of occlusion is good，but affected by the perspective effect and occlusion factors；the number of population estimation method based on texture features suitable for the detection of high—density population under the influence unobstructed a