ZHONG Ji, ong. A Real-time Moving Object Tracking System Based on Visual Prediction[J]. ROBOT, 2010, 32(4): 516-521.
Citation: ZHONG Ji, ong. A Real-time Moving Object Tracking System Based on Visual Prediction[J]. ROBOT, 2010, 32(4): 516-521.

A Real-time Moving Object Tracking System Based on Visual Prediction

More Information
  • Received Date: July 23, 2009
  • Revised Date: March 27, 2010
  • Published Date: July 14, 2010
  • To meet the higher requirements of the robot control system for real-time visual feedback,a real-time object tracking method based on prediction with least square is presented.By using least squares prediction on the position of moving object,the search region is limited,so that the tracking speed is improved.Experimental results show that the proposed method can meet the requirements for real time response of fast visual servo.
  • [1]
    Magana M E,Holzapfel F.Fuzzy-logic control of ann inverted pendulum with vision feedback[J].IEEE Transactions on Education,1998,41(2):165-170.    
    [2]
    Li H Y.Choreographing dynamical systems[D].Cambridge,USA:Harvard University,2004.
    [3]
    Petrovic I,Brezak M,Cupec R.Machine vision based oontrol of the ball and beam[C]//International Workshop on Advanced Motion Control.Piscataway,NJ,USA:IEEE,2002:573-577.
    [4]
    Won S H P,Golnaraghi F,Melek W.A fastening tool tracking system using an IMU and a position sensor with Kalman filters and a fuzzy expert system[J].IEEE Transactions on Industrial Electronics,2009,56(5):1782-1792.  
    [5]
    Yun X P,Bachmann E.Design,implementation,and experimental results of a quaternion-based Kalman filter for human body motion tracking[J].IEEE Transactions on Robotics,2006,22(6):1216-1227.  
    [6]
    李庆瀛,褚金奎,李荣华,等.基于卡尔曼滤波的移动机器人运动目标跟踪[J].传感器与微系统,2008,27(11):66-68,71.Li Qingying,Chu Jinkui,Li Ronghua,et al.Moving object tracking algorithm for mobile robot based On Kalman filter[J].Transducer and Microsystem Technologies,2008,27(11):66-68,71.
    [7]
    Cho J Y,Jin S H,Pham X D,et al.A real-time object tracking system using a particle filter[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems.Piscataway,NJ,USA:IEEE,2006:2822-2827.
    [8]
    Sabbi A S,Huber M.Particle filter based object tracking in a stereo vision system[C]//IEEE International Conference on Robotics and Automation.Piscataway,NJ,USA:IEEE,2006:2409-2415.
    [9]
    Islam M Z,Oh C M,Lee C W.Real time moving object tracking by particle filter[C]//International Symposium on Computer Science and Its Applications.Piscataway,NJ,USA:IEEE,2008:347-352.
    [10]
    张苗辉,辛明,刘先省.基于粒子滤波的机动目标跟踪改进算法[J].系统工程与电子技术,2008,30(5):945-951.Zhang Miaohui,Xin Ming,Liu Xianxing.Improved algorithm of maneuvering target tracking based on particle filter[J].Systems Engineering and Electronics,2008,30(5):945-951.
    [11]
    程建,周越,蔡念,等.基十粒子滤波的红外目标跟踪[J].红外与毫米波学报,2006,25(2):113-117.Cheng Jian,Zhou Yue,Cai Nian,et al.Infrared object tracking based on particle filters[J].Journal of Infrared and Millimeter Waves,2006,25(2):113-117.
    [12]
    李鹏飞,喻建平,李良群.基于模糊自适应α-β滤波的机动目标跟踪[J].系统工程与电子技术,2008,30(11):2138-2141.Li Pengfei,Yu Jianping,Li Liangqun.Maneuvering target tracking based on fuzzy adaptive α-β filter[J].Systems Engineering and Electronics,2008,30(11):2138-2141.

Catalog

    Article views (46) PDF downloads (405) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return