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Volumn , Issue , 2005, Pages 794-800

Mining rare and frequent events in multi-camera surveillance video using self-organizing maps

Author keywords

Indoor surveillance; Rare event detection; Self organizing maps; Unsupervised learning; Visualization

Indexed keywords

CAMERAS; COLOR; SELF ORGANIZING MAPS; SENSORS;

EID: 32344449515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1081870.1081975     Document Type: Conference Paper
Times cited : (13)

References (14)
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    • Monitoring human behavior from video taken in an office environment
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    • Ayers, D and Shah, M. Monitoring Human Behavior from Video taken in an Office Environment. Image and Vision Computing, 19, 12, Oct. 1, 2001, pp. 833-846.
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    • Ayers, D.1    Shah, M.2
  • 5
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    • Multimedia data mining framework for raw video sequences
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    • J.-H. Oh, J.-K. Lee, S. Kote, B. Bandi Multimedia Data Mining Framework for Raw Video Sequences. In O.R. Zaiane, S.J. Simoff, and Ch. Djeraba (Eds.) Mining Multimedia and Complex Data. Lecture Notes in Artificial Intelligence. Vol. 2797. Springer, 2003, pp. 18-35.
    • (2003) Mining Multimedia and Complex Data , vol.2797 , pp. 18-35
    • Oh, J.-H.1    Lee, J.-K.2    Kote, S.3    Bandi, B.4
  • 6
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    • Finding (Un)Usual events in video
    • H. Zhong and J. Shi Finding (Un)Usual Events in Video, Tech. Report CMU-RI-TR-03-05, 2003.
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  • 7
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    • Efficient video browsing using multiple synchronized views
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    • Amir, A., Srinivasan, S., and Ponceleon, D. Efficient Video Browsing using Multiple Synchronized Views, In. A. Rosenfeld, D. Doermann, and D. DeMenthon (Eds.) Video Mining, Kluwer Academic Publishers, 2003, pp. 1-30.
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    • Amir, A.1    Srinivasan, S.2    Ponceleon, D.3
  • 8
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    • Audio and visual content summarization of a video program
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    • Gong, Y. Audio and Visual Content Summarization of a Video Program, In B. Furht and O. Marques (Eds.) Handbook of Video Databases. Design and Applications, CRC Press, 2004, pp.245-277.
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  • 11
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    • PicSOM - Content-based image retrieval with self-organizing maps
    • J.T. Laaksonen, J.M. Koskela, S.P. Laakso, and E. Oja PicSOM - content-based image retrieval with self-organizing maps, Pattern Recognition Letters, 21(13-14), 2000, pp. 1199-1207.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.