期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于全景视觉的监控系统设计 被引量：1

A Surveillance System Based on Omnidirectional Camera
下载PDF
导出
摘要 设计了一个基于全景视觉的多摄像机监控网络。全景相机视野广,可以实现大范围的目标检测与跟踪。云台摄像机视角具有一定的自由度,可以捕捉目标的高分辨率图像。将全景相机与云台相机相互配合,通过多传感器的数据融合,分层次的跟踪算法及多相机调度算法,实现了大范围的多个运动目标的检测与跟踪,并能捕获目标的清晰图像。实验验证了该系统的有效性和合理性。 A surveillance system based on omnidirectional camera is proposed in this article. Omnidirectional camera has a wide field of view, can be used to detect, track targets in a large scale. PTZ camera has flexible field of view, can be used to capture detailed image of targets. In this paper,omnidirectional camera is used in conjunction with PTZ cameras, detection and tracking of multiple moving objects in large scale area as well as capturing detail images of target is realized by using the hierarchical tracking algorithm, multiple sensors data fusion and multiple cameras cooperation algorithm. Experiment verified the performance of the surveillance network.
作者 刘栋栋
机构地区 上海交通大学自动化系
出处 《微型电脑应用》 2012年第3期43-45,68-69,共3页 Microcomputer Applications
关键词 全景摄像机 多摄像头系统 多目标跟踪 监控 Omnidirectional Camera Multiple Camera System Multiple Objects Tracking Surveillance
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献7

  • 1Collins, R. Amidi, O. and Kanade. T. An active camera system for acquiring multi-view video[C]. Image Processing , Proceedings of 2010 IEEE[j] International Conference(ICIP), N.Y., USA: IEEE, 2010. 517-520.
  • 2Yan Lu, Shahram Payandeh. Intelligent Cooperative Tracking in Multi-Camera Systems[C]. Intelligent Sys- tems Design and Applications, Proceedings of the 2009 IEEE International Conference. Pisa, Italy: IEEE,2009: 608-613.
  • 3Yao, Y. Abidi, B. et al. Fusion of omnidirectional and PTZ cameras for accurate cooperative tracking [C]. Video and Signal Based Surveillance, Proceedings of 2006 IEEE Intemational Conference. Sydney, Australia: IEEE, 2006. 46-51.
  • 4Ghidoni, S. Pretto, A. et al. Cooperative tracking of moving objects and face detection with a dual camera sensor[C]. Robotics and Automation, Proceedings of 2010 IEEE[J]. International Conference. Anchorage, Alaska: IEEE, 2010. 2568-2573.
  • 5Kyungnam Kim, Thanarat H,C, David Harwood, Larry Davis. Real-time foreground-background segmentation using codebook model.[J] Real-Time Imaging. 2005(11), 172-185.
  • 6梁华,刘云辉.视频中遮挡情况下目标的跟踪[J].计算机应用研究,2008,25(3):950-952. 被引量：5
  • 7Davide Scaramuzza, Agostino Martinelli, Roland Sieg- wart. A Toolbox for Easily Calibrating Omnidirectional Cameras. [C] Intelligent Robots and Systems, Proceeding of 2006 IEEE International Conference. Beijing, China: IEEE, 2006. 5695-5701.

二级参考文献12

  • 1GABRIEL P F, VERLY J G, PIATER J H, et al. The state of the art in multiple object tracking under occlusion in video sequences[ C ]// Advanced Concepts for Intelligent Vision Systems ( ACIVS 2003 ). Ghent, Belgium: [ s. n. ] , 2003.
  • 2PIATER H J, CROWLEY J L. Multl-modal tracking of interacting targets using Gaussian approximations [ C ]//Proc of the 2nd IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. 2001.
  • 3MCKENNA S, JABRI S, DURIC Z, et al. Tracking groups of people [ J]. Computer Vision and Image Understanding, 2000,80( 1 ) : 42-56.
  • 4BREMOND F, THONNAT M. Tracking multiple nonrigid objects in video sequences [J]. IEEE Trans on Circuits and Systems for Video Techniques, 1998,8 ( 5 ) :585- 591.
  • 5HARITAOGLU I. A real-time system for detection and tracking of people and recognizing their activities [ D ]. Maryland : University of Maryland, 1998.
  • 6ELGAMMAL A, DAVIS L S. Probabilistic framework for segmenting people under occlusion[ C ]//Proc of the 8th International Conference on Computer Vision. 2001.
  • 7SENIOR A. Tracking people with probabilistic appearance models [ C]//Proc of the 3rd IEEE International Workshop on Performance Evaluation of Tracking and Surveillance. Copenhagen: [ s. n. ]. 2002.
  • 8SENIOR A W, HAMPAPUR A, BROWN L M, et al. Appearance models for occlusion handling [ C ]//Proc of the 2nd International Workshop on Performance Evaluation of Tracking and Surveillance Systems. 2001.
  • 9KHAN S, SHAH M. Tracking people in presence of occlusion[ C]// Asian Conference on Computer Vision. Taiwan : [ s. n. ], 2000.
  • 10HU Min, HU Wei-ming, TAN Tie-niu. Tracking people through occlusion[ C]//Proc of the 17th Int Conf on Pattern Recognition. Cambridge: [ s. n. ] ,2004.

共引文献4

同被引文献8

引证文献1

二级引证文献3

微型电脑应用
2012年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部