Retrieval of Contextual Information on Korean Road Sign

被引:0
|
作者
Ha, Jong-Eun [1 ]
Shim, Jin-Bum [2 ]
Choi, Keun-Ho [2 ]
机构
[1] Seoul Natl Univ Technol, Dept Automot Engn, Seoul, South Korea
[2] Korea Geospatial Informat & Commun Col LTD, Korea Geospatial Informat Res Inst, Seoul, South Korea
关键词
Road sign; object detection; contextual information;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Automatic extraction of contextual information on road sign can be used in various applications such as scene interpretation and autonomous navigation. This paper proposes a method for the automatic detection of contextual information on Korean road sign. It usually consists of various information such as directional symbol, the name of place according to direction, and corresponding route number. All this information is automatically detected using image processing. First, target area containing a road sign on image is found using learning based object detection algorithm.. Next, grouping into Korean and English characters, direction symbol, and road's digit is done. Finally, contextual information is obtained by analyzing each group using color and geometric features.
引用
收藏
页码:1481 / +
页数:2
相关论文
共 50 条
  • [41] Registration and retrieval of highly elastic bodies using contextual information
    Amores, J
    Radeva, P
    PATTERN RECOGNITION LETTERS, 2005, 26 (11) : 1720 - 1731
  • [42] Retrieval of IVUS images using contextual information and elastic matching
    Amores, J
    Radeva, P
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2005, 20 (05) : 541 - 559
  • [43] Contextual music information retrieval and recommendation: State of the art and challenges
    Kaminskas, Marius
    Ricci, Francesco
    COMPUTER SCIENCE REVIEW, 2012, 6 (2-3) : 89 - 119
  • [44] Quantum Approach for Contextual Search, Retrieval, and Ranking of Classical Information
    Alodjants, Alexander P.
    Avdyushina, Anna E.
    Tsarev, Dmitriy V.
    Bessmertny, Igor A.
    Khrennikov, Andrey Yu.
    ENTROPY, 2024, 26 (10)
  • [45] A Comparative Study of Ontology Building Tools for Contextual Information Retrieval
    Ranpara, Ripal
    Yusufzai, Asifkhan
    Kumbharana, C. K.
    EMERGING TRENDS IN EXPERT APPLICATIONS AND SECURITY, 2019, 841 : 401 - 408
  • [46] Elastic matching and retrieval of IVUS images using contextual information
    Amores, J
    Radeva, P
    ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, 2003, 100 : 137 - 148
  • [47] Ontological framework based on contextual mediation for collaborative information retrieval
    Jung, Jason J.
    INFORMATION RETRIEVAL, 2007, 10 (01): : 85 - 109
  • [48] Ontological framework based on contextual mediation for collaborative information retrieval
    Jason J. Jung
    Information Retrieval, 2007, 10
  • [49] Effective foreign word extraction for Korean information retrieval
    Kang, BJ
    Choi, KS
    INFORMATION PROCESSING & MANAGEMENT, 2002, 38 (01) : 91 - 109
  • [50] An Integrated Korean Biodiversity and Genetic Information Retrieval System
    Jeongheui Lim
    Jong Bhak
    Hee-Mock Oh
    Chang-Bae Kim
    Yong-Ha Park
    Woon Kee Paek
    BMC Bioinformatics, 9