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Volumn , Issue , 2010, Pages 3533-3536

Detecting dominant motion flows in unstructured/structured crowd scenes

Author keywords

[No Author keywords available]

Indexed keywords

FLOW VECTORS; NON-RIGID MOTION; NOVEL METHODS; REAL-WORLD; ROBUST TRACKING; SIFT FEATURE; VIDEO SURVEILLANCE;

EID: 78149482675     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.862     Document Type: Conference Paper
Times cited : (33)

References (12)
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    • Trajectory Pattern Detection by HMM Parameter Space Features and Eigenvector Clustering
    • F. M. Porikli, Trajectory Pattern Detection by HMM Parameter Space Features and Eigenvector Clustering, ECCV, 2004.
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    • Porikli, F.M.1
  • 2
    • 77953226142 scopus 로고    scopus 로고
    • Tracking in Unstructured Crowded Scenes
    • M. Rodriguez, S. Ali and T. Kanade, Tracking In Unstructured Crowded Scenes, ICCV, 2009.
    • (2009) ICCV
    • Rodriguez, M.1    Ali, S.2    Kanade, T.3
  • 3
    • 77957968783 scopus 로고    scopus 로고
    • Evaluation of Clustering Methods for Finding Dominant Optical Flow Fields in Crowded Scenes
    • G. Eibl, N. Brandle, Evaluation of Clustering Methods for Finding Dominant Optical Flow Fields in Crowded Scenes, ICPR, 2008.
    • (2008) ICPR
    • Eibl, G.1    Brandle, N.2
  • 4
    • 77957906079 scopus 로고    scopus 로고
    • Detecting Global Motion Patterns in Complex Videos
    • M. Hu, S. Ali and M. Shah, Detecting Global Motion Patterns in Complex Videos, ICPR, 2008.
    • (2008) ICPR
    • Hu, M.1    Ali, S.2    Shah, M.3
  • 5
    • 33845582996 scopus 로고    scopus 로고
    • Unsupervised Bayesian Detection of Independent Motion in Crowds
    • G. Brostow, R. Cipolla, Unsupervised Bayesian Detection of Independent Motion in Crowds, CVPR, 2006.
    • (2006) CVPR
    • Brostow, G.1    Cipolla, R.2
  • 6
    • 35648962129 scopus 로고    scopus 로고
    • Learning Semantic Scene Models by Trajectory Analysis
    • X. Wang et al., Learning Semantic Scene Models by Trajectory Analysis, ECCV, 2006.
    • (2006) ECCV
    • Wang, X.1
  • 7
    • 70450122010 scopus 로고    scopus 로고
    • Floor Fields for Tracking in High Density Crowd Scenes
    • S. Ali, M. Shah, Floor Fields for Tracking in High Density Crowd Scenes, ECCV, 2008.
    • (2008) ECCV
    • Ali, S.1    Shah, M.2
  • 8
    • 0019647180 scopus 로고
    • An Iterative Image Registration Technique with an Application to Stereo Vision
    • B. D. Lucas and T. Kanade, An Iterative Image Registration Technique with an Application to Stereo Vision, IJCAI, 1981.
    • (1981) IJCAI
    • Lucas, B.D.1    Kanade, T.2
  • 9
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant key points
    • D. Lowe. Distinctive image features from scale-invariant key points. Intl. J. of Computer Vision, 60(2):91-110, 2004.
    • (2004) Intl. J. of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 10
    • 78149488483 scopus 로고    scopus 로고
    • A Method for Visualizing Pedestrian Traffic Flow using SIFT
    • Y. Tsuduki, H. Fujiyoshi, A Method for Visualizing Pedestrian Traffic Flow using SIFT, PSIVT, 2009.
    • (2009) PSIVT
    • Tsuduki, Y.1    Fujiyoshi, H.2
  • 11
    • 77957910178 scopus 로고    scopus 로고
    • Real-time Crowd Motion Analysis
    • N. Ihaddadene, C. Djeraba, Real-time Crowd Motion Analysis, ICPR, 2008.
    • (2008) ICPR
    • Ihaddadene, N.1    Djeraba, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.