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Efficient image gradient based vehicle localization
Tan, TN; Baker, KD
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2000-08-01
Volume9Issue:8Pages:1343-1356
SubtypeArticle
AbstractThis paper reports novel algorithms for the efficient localization and recognition of vehicles in traffic scenes, The algorithms eliminate the need for explicit symbolic feature extraction and matching. The pose and class of an object is determined by a form of voting and one-dimensional (I-D) correlations based directly on image gradient data, which can be computed "on the fly." The algorithms are therefore very well suited to real-time implementation,
KeywordImage Understanding Model Based Vision Object Recognition Traffic Image Processing Traffic Scene Analysis Vehicle Localization
WOS HeadingsScience & Technology ; Technology
WOS KeywordOBJECT RECOGNITION ; CORRESPONDENCES ; SCENES ; POINT ; LINE ; POSE ; 2-D
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000088531500004
Citation statistics
Cited Times:42[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9805
Collection09年以前成果
Affiliation1.Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
2.Univ Reading, Dept Comp Sci, Reading RG6 6AY, Berks, England
Recommended Citation
GB/T 7714
Tan, TN,Baker, KD. Efficient image gradient based vehicle localization[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2000,9(8):1343-1356.
APA Tan, TN,&Baker, KD.(2000).Efficient image gradient based vehicle localization.IEEE TRANSACTIONS ON IMAGE PROCESSING,9(8),1343-1356.
MLA Tan, TN,et al."Efficient image gradient based vehicle localization".IEEE TRANSACTIONS ON IMAGE PROCESSING 9.8(2000):1343-1356.
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