电子科技2019，Vol.32Issue(12)：48-52,5.DOI:10.16180/j.cnki.issn1007-7820.2019.12.010
视频监控行人流量统计系统的设计
Designof Pedestrian Flow Statistics System on Video Monitoring
摘要
Abstract
Aiming at the problems of backward pedestrian statistics, on-real-time and backward statistical data,intelligent video surveillance and image recognition were proposed for real-time pedestrian traffic statistics. The system calculated the pedestrian target characteristics according to the integral channel idea, and used the Ada-boost algorithm to train the classifier to locate and identify the pedestrian target in the image frame. Based on the identified targets, the CPU multi-task model was used to improve the kernel correlation filtering algorithm to track he target in real time and obtain the pedestrian traffic. The test results showed that the system can recognize, track and count pedestrian targets in real time. The average recognition rate was 93%, and the improved multi-task model increased the tracking rate by about 20%.关键词
人流量统计/实时监控/积分通道特征/核相关滤波/多任务跟踪/Adaboost算法Key words
pedestrian flow statistics/ real-time monitoring/integral channel features/kernel correlation filtering/multi-task tracking/Adaboost algorithm分类
信息技术与安全科学引用本文复制引用
殷涛,崔佳冬..视频监控行人流量统计系统的设计[J].电子科技,2019,32(12):48-52,5.基金项目
中央高校基本科研基金( JB160205 ) （ JB160205 ）
