PhD Forum: Correlation Coefficient based Template Matching for Indoor People Tracking

被引：0
|
作者：
Guan, Junzhi [1 ]
Van Hese, Peter [1 ]
Nino-Castaneda, Jorge Oswaldo [1 ]
Gruenwedel, Sebastian [1 ]
Van Haerenborgh, Dirk [2 ]
Van Cauwelaert, Dimitri [1 ,2 ]
Veelaert, Peter [1 ,2 ]
Philips, Wilfried [1 ]
机构：
[1] Ghent Univ IBBT, TELIN, Image Proc & Interpretat, Ghent, Belgium
[2] Univ Coll Ghent, Vision Syst, Ghent, Belgium
来源：
2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC) | 2012年
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D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
One of the most popular methods to extract information from an image sequence is template matching. The principle of template matching is tracking a certain feature or target over time based on the comparison of the content of each frame with a simple template. In this article, we propose an correlation coefficient based template matching which is invariant to linear intensity distortions to do correction or verification of our existing indoor people tracking system [1].
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页数：2
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