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Efficient image gradient based vehicle localization
Tan, TN; Baker, KD
2000-08-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号9期号:8页码:1343-1356
文章类型Article
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,
关键词Image Understanding Model Based Vision Object Recognition Traffic Image Processing Traffic Scene Analysis Vehicle Localization
WOS标题词Science & Technology ; Technology
关键词[WOS]OBJECT RECOGNITION ; CORRESPONDENCES ; SCENES ; POINT ; LINE ; POSE ; 2-D
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000088531500004
引用统计
被引频次:41[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9805
专题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
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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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