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Volumn , Issue , 2007, Pages

Integrating appearance and motion cues for simultaneous detection and segmentation of pedestrians

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; IMAGE PROCESSING;

EID: 50549087314     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4409035     Document Type: Conference Paper
Times cited : (31)

References (11)
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    • Elder, J.1    Zucker, S.2
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    • 84944054137 scopus 로고    scopus 로고
    • Pedestrian detection from a moving vehicle
    • D. Gavrila. Pedestrian detection from a moving vehicle. In Proc. ECCV, pages 37-49, 2000.
    • (2000) Proc. ECCV , pp. 37-49
    • Gavrila, D.1
  • 7
    • 33744792263 scopus 로고    scopus 로고
    • Pedestrian detection in crowded scenes
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  • 8
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    • A boundary-fragment-model for object detection
    • A. Opelt, A. Pinz, and A. Zisserman. A boundary-fragment-model for object detection. In Proc. ECCV, 2006.
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    • Opelt, A.1    Pinz, A.2    Zisserman, A.3
  • 9
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    • Contour-based learning for object detection
    • J. Shotton, A. Blake, and R. Cipolla. Contour-based learning for object detection. In Proc. ICCV, 2005.
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    • Shotton, J.1    Blake, A.2    Cipolla, R.3
  • 10
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    • Image parsing: Unifying segmentation, detection, and recognition
    • IEEE
    • Z. Tu et al. Image parsing: unifying segmentation, detection, and recognition. In Proc. ICCV, page 18. IEEE, 2003.
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  • 11
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    • Detecting pedestrians using patterns of motion and appearance
    • P. Viola et al. Detecting pedestrians using patterns of motion and appearance. In Proc. ICCV, pages 734-741, 2003.
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    • Viola, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.