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Volumn , Issue , 2008, Pages 1607-1611

Optical flow using color information: Preliminary results

Author keywords

Colored images; Computer vision; Optical flow

Indexed keywords

COLOR; COMPUTER VISION; IMAGE ENHANCEMENT; IMAGE PROCESSING; OPTICAL PROPERTIES;

EID: 56749106205     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1363686.1364064     Document Type: Conference Paper
Times cited : (44)

References (16)
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  • 7
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    • Determining optical flow
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    • B. Horn and B. Schunck. Determining optical flow. Artificial Intelligence, 16(1-3):185-203, August 1981.
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    • Horn, B.1    Schunck, B.2
  • 8
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    • B. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI81, pages 674-679, 1981.
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    • Lucas, B.1    Kanade, T.2
  • 9
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    • Medição das velocidades de um robô móvel utilizando sequências de imagens de sua superfície de movimentação
    • Salvador, BA, Brazil, Sept
    • H. N. Machado and G. A. S. Pereira. Medição das velocidades de um robô móvel utilizando sequências de imagens de sua superfície de movimentação. In XVI Congresso Brasileiro de Automática, pages 1025-1030, Salvador, BA, Brazil, Sept. 2006.
    • (2006) XVI Congresso Brasileiro de Automática , pp. 1025-1030
    • Machado, H.N.1    Pereira, G.A.S.2
  • 10
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    • Dominant plane detection from optical flow for robot navigation
    • N. Ohnishi and A. Imiya. Dominant plane detection from optical flow for robot navigation. Pattern Recognition Letters, 27(9):1009-1021, 2006.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.9 , pp. 1009-1021
    • Ohnishi, N.1    Imiya, A.2
  • 14
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    • Optical flow-based real-time object tracking using non-prior training active feature model
    • June
    • J. Shin, S. Kim, S. Kang, S.-W. Lee, J. Paik, B. Abidi, and M. Abidi. Optical flow-based real-time object tracking using non-prior training active feature model. Real-Time Imaging, 11(3):204-218, June 2005.
    • (2005) Real-Time Imaging , vol.11 , Issue.3 , pp. 204-218
    • Shin, J.1    Kim, S.2    Kang, S.3    Lee, S.-W.4    Paik, J.5    Abidi, B.6    Abidi, M.7
  • 16
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    • A genetic algorithm for optical flow estimation
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    • M. Tagliasacchi. A genetic algorithm for optical flow estimation. Image and Vision Computing, In Press, 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.