期刊文献+

基于单目序列图像的运动目标跟踪 被引量:4

Moving Target Tracking Based on Monocular Sequence Images
下载PDF
导出
摘要 对于视频监控图像中运动目标位置的检测,现有的定位跟踪系统主要采用双目或结构光立体视觉技术,存在系统设计复杂、检测速度慢等缺点.有鉴于此,文中将地面约束引入到单目视觉监控中,提出了一种单目序列图像运动目标跟踪方法.该方法利用摄像机安装信息和几何成像原理,结合非线性补偿,推导出单目不对称非线性成像的地面运动目标实际位置计算公式.通过搭建室内监控测试平台,在序列图像中进行了寻找步行者足印位置的实验,结果验证了文中方法的有效性. For the location detection of a moving target in surveillance videos,the existing locating and tracking systems mainly based on binocular or structured-light stereo vision techniques are of high system design complexity and low speed.In order to remedy these drawbacks,a new method of moving target tracking based on monocular sequence images is proposed by introducing a ground constraint.In this method,the formulas to estimate the position of moving target in asymmetric nonlinear imaging are derived according to camera's installation information and geometrical imaging principle together with nonlinear compensation.By setting up an indoor monitoring and test platform,an experiment looking for a walker's foot position in an image sequence is carried out,and the results verifies the effectiveness of the proposed method.
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第3期94-99,共6页 Journal of South China University of Technology(Natural Science Edition)
基金 NSFC-广东省自然科学联合基金资助项目(U0735004) 华南理工大学中央高校基本科研业务费专项资金资助项目(X2dXD2116370)
关键词 机器视觉 定位跟踪 目标检测 不对称投影 machine vision location tracking object detection asymmetric projection
  • 相关文献

参考文献16

  • 1Robert T C,Alan J L,Takeo K,et al.A system for videosurveillance and monitoring[R].Pittsburgh Pennsylva-nia:Robotics Institute,Camegie Mellon University,2000:10-11.
  • 2Posada-Gomez R,Sandoval-Gonzalez O O,Sanchez-MunizE.Development of a motion analysis system and human-machine interaction through digital image processing andvirtual reality[C]∥Proceedings of Electrical Communi-cations and Computers.San Andres Cholula:IEEE,2011:284-288.
  • 3Khan Z H,Gu I Y,Backhouse A G.Robust visual objecttracking using multi-mode anisotropic mean shift and par-ticle filters[J].IEEE Transactions on Circuits and Sys-tems for Video Technology,2011,21(1):74-87.
  • 4Munoz-Salinas R,Aguirre E,Garcia-Silvente M.Peopledetection and tracking using stereo vision and color[J].Image and Vision Computing,2007,25(6):995-1007.
  • 5Wan L C,Sebastian P,Voon Y V.Stereo vision trackingsystem[C]∥Proceedings of International Conference onFuture Computer and Communication.Kuala Lumpar:IEEE,2009:487-491.
  • 6Barber D B,Redding J D,McLain T W,et al.Vision-based target geo-location using a fixed-wing miniature airvehicle[J].Journal of Intelligent and Robotic Systems,2006,47(4):361-382.
  • 7Randeniya D I B,Sarkar S,Gunaratne M.Vision-IMUintegration using a slow-frame-rate monocular vision sys-tem in an actual roadway setting[J].IEEE Transactionson Intelligent Transportation Systems,2010,11(2):256-266.
  • 8Cardillo J,Sid-Ahmed M A.3-D position sensing using apassive monocular vision system[J].IEEE Transactionson Pattern Analysis and Machine Intelligence,1991,13(8):809-813.
  • 9Wang Siming,Fan Yingli.A vision location algorithm forCCD camera based on geometric knowledge[C]∥Pro-ceedings of International Conference on EnvironmentalScience and Information Application Technology.Wu-han:IEEE,2010:430-433.
  • 10Heikkila J,Silven O.A four-step camera calibration pro-cedure with implicit image correction[C]∥Proceedingsof IEEE Computer Society Conference on Computer Vi-sion and Pattern Recognition.San Juan:IEEE,1997:1106-1112.

同被引文献40

引证文献4

二级引证文献13

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