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基于自适应模板的图像跟踪算法 被引量:10

Adaptive model-based object tracking algorithm
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摘要 本文对传统的模板匹配跟踪方法进行了改进。在跟踪过程中采用了变模板匹配方法,弥补了固定模板跟踪的不足,提高了跟踪的稳定性。最后,本文给出了使用变模板匹配方法跟踪的试验结果。 This paper presents the techniques that we have developed for changeable model-based object tracking. Our approach is based on the changeable model-based matching to track movable object in image sequence. The proposed approach is more effective.
作者 李齐 刘志文
出处 《微计算机信息》 2004年第9期21-22,共2页 Control & Automation
关键词 目标跟踪 相关匹配 算法 模板 自适应 target tracking correlation match algorithm model Adaptive
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参考文献3

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同被引文献29

  • 1许波,李正明.一种新的基于自适应模板的相关跟踪算法[J].光学与光电技术,2004,2(4):62-64. 被引量:4
  • 2顾静良,张卫,万敏.基于自适应模板匹配的红外弱小目标检测[J].电子技术应用,2005,31(5):5-7. 被引量:7
  • 3彭宁嵩,杨杰,刘志,张风超.Mean-Shift跟踪算法中核函数窗宽的自动选取[J].软件学报,2005,16(9):1542-1550. 被引量:165
  • 4Meng Wan, Jean-Y ves Herve. Adaptive, Region-based, Layered Background Model for Target Tracking [A]. Proceedings of the 18th International Conference on Pattern Recognition 0CPR'06) [C]. IEEE Computer society Press, 2006. 0-7695-2521-0/06.
  • 5[1]DVT Frame Work.SmartImage Sensors Installation & Users Guide.DVT Corporation,2003
  • 6[3]Prased L,Lyenar S.High performance algorithms for object recognition problem by multi resolution templat matching.IEEE International Conference,1995(7):362~365
  • 7[6]Steven Jordan,牛力等.Visual Basic6编程宝典.电子工业出版社,2005
  • 8Arnell F, Petersson L. Fast object segmentation from a moving camera [J] Intelligent Vehicles Symposium, 2005. Proceedings IEEE, 2005:136 - 141
  • 9Changick Kim, Jenq Neng Hwang. Fast and automatic video object segmentation and tracking for content-based applications[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12 (2):122-129.
  • 10Shao-Yi Chien, Shyh-Yih Ma, Liang-Gee Chen. Efficient moving object segmentation algorithm using background registration technique [J] .IEEE Transactions on Circuits and Systems for Video Technology, 2002, 12(7):577-582.

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