Moving Object Tracking Using an Adaptive Colour Filter

被引：0
|
作者：
Su, Feng [1 ]
Fang, Gu [1 ]
机构：
[1] Univ Western Sydney, Sch Comp Engn & Math, Penrith, NSW 2751, Australia
来源：
2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV) | 2012年
关键词：
moving object tracking; adaptive colour filter; colour tracking; mobile robot; IMAGE SEGMENTATION; ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Moving object identification and tracking by computer vision plays an important role in surveillance using mobile robots. In this paper, a new method for moving object tracking using an adaptive colour filter is introduced. This method is capable of identifying the most salient colour feature in the moving object and using this colour feature to track the object. This method is also capable of adapting this selected colour feature when the surrounding condition is changed. Experimental results have shown that the proposed method can perform robustly in tracking a moving object using a robot mounted camera in a crowded environment.
引用
收藏
页码：1048 / 1052
页数：5
相关论文
共 50 条
  • [1] Moving Object Tracking using Kalman Filter
    Gunjal, Pramod R.
    Gunjal, Bhagyashri R.
    Shinde, Haribhau A.
    Vanam, Swapnil M.
    Aher, Sachin S.
    2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMMUNICATION AND COMPUTING TECHNOLOGY (ICACCT), 2018, : 544 - 547
  • [2] Improved object tracking using an adaptive colour model
    Chen, Zezhi
    Wallace, Andrew M.
    ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 2007, 4679 : 280 - +
  • [3] Moving Object Detection and Tracking using Particle Filter
    Ali, M. M. Naushad
    Abdullah-Al-Wadud, M.
    Lee, Seok-Lyong
    MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4, 2013, 321-324 : 1200 - 1204
  • [4] Particle Filter Based Moving Object Tracking with Adaptive Observation Model
    Uddin, A. F. M. Shahab
    Uddin, Md Jashim
    Awal, Md Abdul
    Islam, Md Zahidul
    2017 6TH INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS AND VISION & 2017 7TH INTERNATIONAL SYMPOSIUM IN COMPUTATIONAL MEDICAL AND HEALTH TECHNOLOGY (ICIEV-ISCMHT), 2017,
  • [5] Adaptive multiple-feature fusion for moving-object tracking using particle filter
    Lu, Xiaofeng
    Izumi, Takashi
    Teng, Lin
    Wang, Lei
    2013 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 2013, : 1649 - 1656
  • [6] Adaptive moving object tracking using nonlinear JTC
    Zhang, YM
    Qin, YW
    Ge, BZ
    Huang, ZH
    Chen, XM
    17TH CONGRESS OF THE INTERNATIONAL COMMISSION FOR OPTICS: OPTICS FOR SCIENCE AND NEW TECHNOLOGY, PTS 1 AND 2, 1996, 2778 : 457 - 458
  • [7] Adaptive multiple object tracking using colour and segmentation cues
    Kumar, Pankaj
    Brooks, Michael J.
    Dick, Anthony
    COMPUTER VISION - ACCV 2007, PT I, PROCEEDINGS, 2007, 4843 : 853 - 863
  • [8] Tracking of Object using Optimal Adaptive Kalman Filter
    Tripathi, Ravi Pratap
    Ghosh, Soumyabrata
    Chandle, J. O.
    PROCEEDINGS OF 2ND IEEE INTERNATIONAL CONFERENCE ON ENGINEERING & TECHNOLOGY ICETECH-2016, 2016, : 1128 - 1131
  • [9] The tracking of a manoeuvring object by using an adaptive Kalman filter
    Tzou, H.-K.
    Lin, Y.-T.
    2001, Professional Engineering Publishing Ltd. (215)
  • [10] Video object tracking using adaptive Kalman filter
    Shiuh-Ku Weng
    Chung-Ming Kuo
    Shu-Kang Tu
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2006, 17 (06) : 1190 - 1208
12345