基于梯度方向-亮度联合空间的红外人体跟踪

被引:5
作者
王江涛
王建国
杨静宇
刘锁兰
机构
[1] 南京理工大学计算机科学与技术系
基金
国家自然科学基金重点项目;
关键词
人体跟踪; 红外图像; 粒子滤波; 联合直方图;
D O I
10.19650/j.cnki.cjsi.2008.03.009
中图分类号
TP391.4 [模式识别与装置]; TN216 [红外系统装置];
学科分类号
0811 ; 081101 ; 081104 ; 1405 ; 0803 ; 080401 ; 080901 ;
摘要
针对红外图像中人体成像的特点,提出一种新颖的红外人体跟踪算法。为克服红外图像中人体目标描述信息不足的缺点,该方法首先在梯度方向-亮度二维联合空间中构建人体目标的特征直方图,然后给出了一种最优直方图级数的选择准则对最具鉴别性能的级数进行选择;进而将上述表达模型与粒子滤波相融合,设计了粒子滤波框架下的人体跟踪算法。不同场景中的人体跟踪结果表明,与通用的跟踪算法相比,本文提出的算法具有更高的鲁棒性和稳健性。
引用
收藏
页码:492 / 498
页数:7
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