液晶与显示2016，Vol.31Issue(10)：998-1005,8.DOI:10.3788/YJYXS20163110.0998
基于云台摄像机的快速移动人群的检测与跟踪
Detection and tracking of fast moving camera based on the PTZ camera
摘要
Abstract
In order to realize the campus safety monitoring,we put forward the detection and tracking of fast moving crowd algorithm based on the PTZ camera.Camera for basic construction of campus safety monitoring is introduced.In order to achieve PTZ camera for better detecting and tracking,the mobile population was established based on the reality of precision of the camera model,the camera rotation angle constraint,the camera model.Detection and tracking of moving people are implemented by using the latest kernel correlation filter tracking algorithm (KCF).The Matlab simulation experi-ment is used to compare the proposed method and Calman filter tracking algorithm,and the optimal method is selected to detect and track the kernel correlation filter tracking algorithm.The results show that the method is feasible,compared with the traditional Kalman filter tracking algorithm,the tracking accuracy of KFC algorithm is superior to the traditional methods.The accuracy in most cases can reach more than 90%,higher than 60% of the Kalman filter tracking algorithm.Testing and track performance meet the requirements.关键词
云台摄像机/精确模型/目标检测与跟踪/核相关滤波器算法Key words
PTZ camera/precise model/target detection and tracking/KCF分类
信息技术与安全科学引用本文复制引用
常运,杜玉红,焉台郎,赵地,李兴..基于云台摄像机的快速移动人群的检测与跟踪[J].液晶与显示,2016,31(10):998-1005,8.基金项目
国家重点基础研究发展计划(973预)(No．2010CB334711) （973预）
国家自然科学基金项目(No．51205288) （No．51205288）
国家级大学生创新创业训练计划资助项目(No．201510058053) Supported by National Key Basic Research and Development Plan (973 pre)(No．2010CB334711) （No．201510058053）
National Natural Science Foundation of China (No．51205288) （No．51205288）
Project Supported by National College Students Innovation and Entrepreneurship Training Program(No．201510058053) （No．201510058053）
