中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Efficient image gradient based vehicle localization

文献类型:期刊论文

作者Tan, TN; Baker, KD
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2000-08-01
卷号9期号:8页码:1343-1356
关键词image understanding model based vision object recognition traffic image processing traffic scene analysis vehicle localization
英文摘要This 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,
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]OBJECT RECOGNITION ; CORRESPONDENCES ; SCENES ; POINT ; LINE ; POSE ; 2-D
收录类别SCI
语种英语
WOS记录号WOS:000088531500004
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9805]  
专题自动化研究所_09年以前成果
作者单位1.Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
2.Univ Reading, Dept Comp Sci, Reading RG6 6AY, Berks, England
推荐引用方式
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.

入库方式: OAI收割

来源:自动化研究所

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