CASIA OpenIR  > 09年以前成果
Locating and recognizing road vehicles
Tan, TN
AbstractThis paper concerns model-based vision for road traffic scene analysis. A traffic vision system is described. The three main modules of the system are movement detection, vehicle localization and discrimination, and vehicle tracking. This paper outlines our work on the localization and discrimination module. Emphasis is on recovering 3-D poses of road vehicles in given image regions. Two classes of algorithms are described, one based on symbolic image features (line segments), and the other simply on image intensity gradients. A priori knowledge about traffic scenes and vehicles is exploited to improve the performance and efficiency of the algorithms. The algorithms are tested extensively with routine outdoor traffic images, and examples are included to demonstrate their principles. (C) 1998 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(98)02501-X].
KeywordRecognition Techniques Object Recognition Model-based Vision Traffic Scene Analysis Vehicle Discrimination Pose Recovery Ground-plane Constraint
WOS HeadingsScience & Technology ; Physical Sciences
Indexed BySCI
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000071778500029
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Tan, TN. Locating and recognizing road vehicles[J]. OPTICAL ENGINEERING,1998,37(1):202-207.
APA Tan, TN.(1998).Locating and recognizing road vehicles.OPTICAL ENGINEERING,37(1),202-207.
MLA Tan, TN."Locating and recognizing road vehicles".OPTICAL ENGINEERING 37.1(1998):202-207.
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