Fast contour tracking algorithm for human body in infrared images

被引：0
|
作者：
Gao J. [1 ,2 ]
Xu J. [1 ]
Bi D. [1 ]
机构：
[1] Eng. College, Air Force Eng. Univ.
[2] The Res. Inst. of Equipment System Development and Evaluation of Air Force Equipment Res. Acad.
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2011年 / 38卷 / 05期
关键词：
Contour; Dynamic neighbor region; Fast level set; Human tracking; Infrared image;
D O I：
10.3969/j.issn.1001-2400.2011.05.016
中图分类号：
学科分类号：
摘要：
A novel algorithm based on the level set is proposed for tracking the precise contour of the human body in infrared videos. The algorithm first adopts the nearest neighbor decision method to construct the velocity expression for the fast level set only in the target region and its neighbor background region but not in the whole image plane, then contour tracking is realized by evolving the zero level set curve using the dynamic neighbor region fast level set algorithm proposed in this paper. Experiments show that this algorithm can adapt to the scale change of the target and the split or mergence of the target, and lead to the exact contour of the human body.
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收藏
页码：95 / 100
页数：5
相关论文
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