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基于Mean Shift算法和灰度模板匹配的运动目标主动跟踪
引用本文:张德秀,尚振宏,尚晋霞,刘会珍.基于Mean Shift算法和灰度模板匹配的运动目标主动跟踪[J].数字社区&智能家居,2010(11).
作者姓名:张德秀  尚振宏  尚晋霞  刘会珍
作者单位:昆明理工大学信息工程与自动化学院;
摘    要:该文提出了一种综合Mean Shift算法和灰度模板匹配的主动跟踪算法。该算法利用灰度模板匹配与运动目标在图像的位置无关的特点,在视角和焦距发生变化后用灰度模板进行穷尽搜索,再用匹配结果更新Mean Shift搜索窗口,解决了Mean Shift算法要已知目标区域才能正确跟踪的问题。该算法能在视角和焦距发生变化的情况下能正确的跟踪运动目标并能使被跟踪的运动目标始终保持在图像的中心区域。实验表明,该算法具有较好的可行性。

关 键 词:Mean  Shift算法  主动跟踪  目标跟踪  灰度模板匹配  

Move Target Active Tracking Based on Mean Shift Algorithm and Grayscale Template Matching
ZHANG De-xiu,SHANG Zhen-hong,SHANG Jin-xia,LIU Hui-zhen.Move Target Active Tracking Based on Mean Shift Algorithm and Grayscale Template Matching[J].Digital Community & Smart Home,2010(11).
Authors:ZHANG De-xiu  SHANG Zhen-hong  SHANG Jin-xia  LIU Hui-zhen
Affiliation:College of Information Engineering and Automation;Kunming University of Science and Technology;Kunming 650051;China
Abstract:An active tracking algorithm synthesized Mean Shift Algorithm and grayscale template matching was proposed.The algorithm used features that the grayscale template matching with the move target was independent of the position in the image to exhaustively search with a gray-scale template after changing the angle and focal length,and then updated Mean Shift search windows with match results to solve the problem that the Mean Shift algorithm to track correctly according to the known target area.The algorithm c...
Keywords:Mean Shift algorithm  Active tracking  Object tracking  Grayscale template matching  
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