计算机工程与应用2019，Vol.55Issue(24)：29-36,8.DOI:10.3778/j.issn.1002-8331.1909-0171
Mean Shift和粒子滤波实现红外人体跟踪算法综述
Review of Infrared Human Tracking Algorithm Using Mean Shift and Particle Filter
耿建平 1雷梦英1
作者信息
- 1. 桂林电子科技大学 电子工程与自动化学院,广西 桂林 541004
- 折叠
摘要
Abstract
The infrared camera works all day and is not limited by external environment such as insufficient light and dark night. However, the poor imaging quality, low resolution and single information of the infrared images lead to many difficult problems in researching human target tracking. The main contributions of this paper are shown in the following three aspects:(1)The rare public infrared datasets are summarized in detail.(2)The improvement schemes of Mean Shift algorithm and particle filter algorithm in infrared human tracking at home and abroad are elaborated emphatically.(3)The research progress of infrared human tracking by fusing infrared imaging and visible imaging is mainly introduced.关键词
红外人体跟踪/红外数据集/Mean Shift算法/粒子滤波算法Key words
infrared human tracking/infrared datasets/Mean Shift algorithm/particle filter algorithm分类
信息技术与安全科学引用本文复制引用
耿建平,雷梦英..Mean Shift和粒子滤波实现红外人体跟踪算法综述[J].计算机工程与应用,2019,55(24):29-36,8.
