摘要
针对传统STC(时空上下文)算法的不足,在灰度特征的基础上,加入能表征局部区域灰度值变化程度的LWIE(局部加权灰度信息熵)特征,并利用红外目标与周围背景的局部对比度特征,对当前跟踪的每一个目标建立评估模型,以确定当前跟踪的目标准确有效.实验表明:该算法能准确地跟踪红外小目标,且具有良好的抗干扰性、实时性和鲁棒性.
In view of the shortcomings of traditional spatio-temporal context(STC)algorithm,on the basis of the gray features,the local weighted gray information entropy(LWIE)was joined to represent the variations of grayscale in local area.Then,the local contrast characteristics were used to establish an evaluation model for each tracking target to confirm whether the current tracking target was effective.Experimental results show that the proposed algorithm can track target effectively and accurately,which has good anti-interference performance,availability,real-time and robustness.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2017年第10期1-6,共6页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61370180)
关键词
目标跟踪
时空上下文
多特征
评估模型
局部对比度
target tracking
spatio-temporal context
multi-feature
evaluation model
local contrast