Anti-Occlusion Algorithm of Tracking Moving Object in Clutter Background

LIU Yang; ZHANG Yun-feng; DONG Yue-fang

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Anti-Occlusion Algorithm of Tracking Moving Object in Clutter Background

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Anti-Occlusion Algorithm of Tracking Moving Object in Clutter Background
- Chinese Journal of Liquid Crystals and Displays Vol. 25, Issue 6, Pages: 890-895(2010)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,130033
  2. 中国科学院研究生院北京,100039
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Received：29 April 2010，
  
  Revised：25 May 2010，
  
  Published Online：20 December 2010，
  
  Published：20 December 2010
- 稿件说明：
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刘扬, 张云峰, 董月芳. 复杂背景下抗遮挡的运动目标跟踪算法[J]. 液晶与显示, 2010,25(6): 890-895

LIU Yang, ZHANG Yun-feng, DONG Yue-fang. Anti-Occlusion Algorithm of Tracking Moving Object in Clutter Background[J]. , 2010,25(6): 890-895
刘扬, 张云峰, 董月芳. 复杂背景下抗遮挡的运动目标跟踪算法[J]. 液晶与显示, 2010,25(6): 890-895 DOI：

LIU Yang, ZHANG Yun-feng, DONG Yue-fang. Anti-Occlusion Algorithm of Tracking Moving Object in Clutter Background[J]. , 2010,25(6): 890-895 DOI：

摘要

通过对各种跟踪算法的研究

提出了一种适应性较好的目标运动预测与多模板匹配相结合的相关跟踪算法

并给出了模板匹配相关算法中的判断准则、模板更新准则和目标被遮挡判断。实验证明

该方法能够在复杂背景条件下运动目标发生遮挡时进行稳定跟踪。

Abstract

After various arithmetics of tracking are researched

a better adaptability multi-template tracking arithmetic based on template self-correlation is presented in this paper

and a new distilling template algorithm of replacing temple guide line

object occlusion judgment guide line and etc are provided. Experiment results show that this tracking arithmetic can track the object stably even if the moving object has occlusion in clutter background.

关键词

Keywords

references

Latecki L J, Miezianko R. Object tracking with dynamic template update and occlusion detection IEEE 18th international Conference on Pattern Recognition, Hong Kong,China: IEEE,2006:188-193.[2] Kaneko T, Hori O. Template update criterion for template matching of image sequences IEEE Computer Vision and Pattern Recognition Quebec, Canada: IEEE, 2002:211-214.[3] Zhong Y, Jain A K. Object tracking using deformable templates IEEE Transactions on Pattern Analysis and Machine Intelligence, Washington, USA:IEEE,2000:544-549.[4] Lucas B, Kanade T. An iterative image registration technique with an application to stereo visionProceedings of the International Joint Conference on Artificial Intelligence, Vancouver, Canada:IEEE,1981:674-679.[5] 杨晓敏, 吴炜, 卿粼波. 图像特征点提取及匹配技术 [J]. 光学精密工程, 2009,17(9):2276-2282.[6] 刘丹平, 段钦义. 适用于光电跟踪的初始目标区域估计法 [J]. 光学精密工程, 2008,16(11): 2286-2289.

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Related Institution

State Key Laboratory of Laser Interaction with Matter, Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences

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