IOE OpenIR  > 光电工程总体研究室(一室)
Moving target detection approach based on spatio-temporal salient perception
Jin, Gang; Li, Zhengzhou; Gu, Yuanshan; Li, Jialing; Cao, Dong; Liu, Linyan; Li, ZZ (reprint author), Chongqing Univ, Coll Commun Engn, Chongqing 400030, Peoples R China.
Source PublicationOPTIK
Volume125Issue:22Pages:6681-6686
2014
Language英语
ISSN0030-4026
DOI10.1016/j.ijleo.2014.08.051
Indexed BySCI
WOS IDWOS:000344976300015
Subtype期刊论文
AbstractThe differences in texture and motion between man-made object and natural scene are the key features for human biological visual system to detect moving object in scenery. The paper proposed a moving target detection approach based on spatio-temporal perception, which is a crucial function of the visual attention mechanism. The spatial feature including edge, orientation, texture and contrast of the image are extracted, and then the corresponding spatial salient map are constructed by fusing the features through difference of Gaussian (DOG) function, which can suppress the common and enhance the difference of local region. Then, the global motion, local motion and relative motion between continuous images are extracted by means of pyramid multi-resolution, and the moving salient map is constructed after the motion difference between moving target and background is confirmed. Finally, the spatio-temporal salient map is constructed by fusing the spatial salient map and the moving salient map through competition strategy, and the moving target could be detected by searching the maximum in the spatio-temporal salient map. Some experiments are included and the results show that the method can accurately detect the moving target in complex background. (C) 2014 Elsevier GmbH. All rights reserved.; The differences in texture and motion between man-made object and natural scene are the key features for human biological visual system to detect moving object in scenery. The paper proposed a moving target detection approach based on spatio-temporal perception, which is a crucial function of the visual attention mechanism. The spatial feature including edge, orientation, texture and contrast of the image are extracted, and then the corresponding spatial salient map are constructed by fusing the features through difference of Gaussian (DOG) function, which can suppress the common and enhance the difference of local region. Then, the global motion, local motion and relative motion between continuous images are extracted by means of pyramid multi-resolution, and the moving salient map is constructed after the motion difference between moving target and background is confirmed. Finally, the spatio-temporal salient map is constructed by fusing the spatial salient map and the moving salient map through competition strategy, and the moving target could be detected by searching the maximum in the spatio-temporal salient map. Some experiments are included and the results show that the method can accurately detect the moving target in complex background. (C) 2014 Elsevier GmbH. All rights reserved.
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/4143
Collection光电工程总体研究室(一室)
Corresponding AuthorLi, ZZ (reprint author), Chongqing Univ, Coll Commun Engn, Chongqing 400030, Peoples R China.
Affiliation1.[Jin, Gang
2.Cao, Dong
3.Liu, Linyan] China Aerodynam Res & Dev Ctr, Mianyang 621000, Peoples R China
4.[Li, Zhengzhou
5.Gu, Yuanshan
6.Li, Jialing] Chongqing Univ, Coll Commun Engn, Chongqing 400030, Peoples R China
7.[Li, Zhengzhou] Chinese Acad Sci, Key Lab Beam Control, Chengdu 610209, Peoples R China
Recommended Citation
GB/T 7714
Jin, Gang,Li, Zhengzhou,Gu, Yuanshan,et al. Moving target detection approach based on spatio-temporal salient perception[J]. OPTIK,2014,125(22):6681-6686.
APA Jin, Gang.,Li, Zhengzhou.,Gu, Yuanshan.,Li, Jialing.,Cao, Dong.,...&Li, ZZ .(2014).Moving target detection approach based on spatio-temporal salient perception.OPTIK,125(22),6681-6686.
MLA Jin, Gang,et al."Moving target detection approach based on spatio-temporal salient perception".OPTIK 125.22(2014):6681-6686.
Files in This Item:
File Name/Size DocType Version Access License
2014-2195.pdf(678KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jin, Gang]'s Articles
[Li, Zhengzhou]'s Articles
[Gu, Yuanshan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jin, Gang]'s Articles
[Li, Zhengzhou]'s Articles
[Gu, Yuanshan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jin, Gang]'s Articles
[Li, Zhengzhou]'s Articles
[Gu, Yuanshan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2014-2195.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.