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基于结构化的加权联合特征表观模型的目标跟踪方法
Alternative TitleObject Tracking Method Based on Structural Appearance Model with Weighted Associated Features
杨大为; 丛杨; 唐延东
Department机器人学研究室
Source Publication信息与控制
ISSN1002-0411
2015
Volume44Issue:3Pages:372-378, 384
Indexed ByCSCD
CSCD IDCSCD:5447514
Contribution Rank1
Funding Organization国家自然科学基金面上项目(NSFC 61375014)
Keyword表观模型 目标跟踪 朴素贝叶斯 颜色特征 纹理特征
Abstract为了解决单目标跟踪中的光照变化、部分遮挡问题,提出了一种结构化的加权联合特征表观模型.该模型将被跟踪的目标图像划分成若干图像块,在每个图像块内计算其颜色特征和纹理特征,将这些特征加权形成特征向量作为目标的表观模型.以该模型为基础,利用贝叶斯理论,提出一种跟踪方法.实验结果表明了该方法的有效性.
Other AbstractA structural appearance model with weighted associated features is proposed to deal with illumination variation and partial occlusion questions in single object tracking. The tracked object image is divided into small image blocks. Thereafter,the color features and textural features are calculated within each block. Next,these features are weighted and a vector is composed,which is presumed the appearance model of the tracked object. Subsequently, through the application of Bayes' theorem,a tracking method based on the appearance model is proposed. Finally,the effectiveness of the proposed tracking method is demonstrated through experimental results.
Language中文
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16846
Collection机器人学研究室
Corresponding Author唐延东
Affiliation1.中国科学院沈阳自动化研究所机器人学国家重点实验室
2.中国科学院大学
3.沈阳理工大学
Recommended Citation
GB/T 7714
杨大为,丛杨,唐延东. 基于结构化的加权联合特征表观模型的目标跟踪方法[J]. 信息与控制,2015,44(3):372-378, 384.
APA 杨大为,丛杨,&唐延东.(2015).基于结构化的加权联合特征表观模型的目标跟踪方法.信息与控制,44(3),372-378, 384.
MLA 杨大为,et al."基于结构化的加权联合特征表观模型的目标跟踪方法".信息与控制 44.3(2015):372-378, 384.
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