CASIA OpenIR  > 智能感知与计算研究中心
Local structured representation for generic object detection
Zhang, Junge1,3; Huang, Kaiqi1,2,3; Tan, Tieniu1,2,3; Zhang, Zhaoxiang2,3; Junge Zhang
Source PublicationFRONTIERS OF COMPUTER SCIENCE
2017-08-01
Volume11Issue:4Pages:632-648
SubtypeArticle
AbstractStructure information plays an important role in both object recognition and detection. This paper studies what visual structure is and addresses the problem of structure modeling and representation from two aspects: visual feature and topology model. Firstly, at feature level, we propose Local Structured Descriptor to capture the object's local structure effectively, and develop the descriptors from shape and texture information, respectively. Secondly, at topology level, we present a local structured model with a boosted feature selection and fusion scheme. All experiments are conducted on the challenging PASCAL Visual Object Classes (VOC) datasets from VOC2007 to VOC2010. Experimental results show that our method achieves very competitive performance.
KeywordLocal Structured Descriptor Local Structured Model Object Representation Object Structure Object Detection Pascal Voc
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s11704-016-5530-6
WOS KeywordIMAGE FEATURES ; SCALE ; CLASSIFICATION ; RECOGNITION ; LOCALIZATION ; GRADIENTS
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China(2012CB316302) ; National Natural Science Foundation of China(61403387 ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDA06040102) ; 61322209 ; 61175007)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000406242800006
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12432
Collection智能感知与计算研究中心
Corresponding AuthorJunge Zhang
Affiliation1.Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Junge,Huang, Kaiqi,Tan, Tieniu,et al. Local structured representation for generic object detection[J]. FRONTIERS OF COMPUTER SCIENCE,2017,11(4):632-648.
APA Zhang, Junge,Huang, Kaiqi,Tan, Tieniu,Zhang, Zhaoxiang,&Junge Zhang.(2017).Local structured representation for generic object detection.FRONTIERS OF COMPUTER SCIENCE,11(4),632-648.
MLA Zhang, Junge,et al."Local structured representation for generic object detection".FRONTIERS OF COMPUTER SCIENCE 11.4(2017):632-648.
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