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Volumn 3804 LNCS, Issue , 2005, Pages 126-133

Mining paths of complex crowd scenes

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA MINING; MATHEMATICAL MODELS; SECURITY OF DATA;

EID: 33744819473     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11595755_16     Document Type: Conference Paper
Times cited : (8)

References (11)
  • 2
    • 33744802176 scopus 로고    scopus 로고
    • Learning concise models of visual activity
    • MERL
    • M.Brand: learning concise models of visual activity. Technical Report TR1997-025, MERL (1997)
    • (1997) Technical Report , vol.TR1997-025
    • Brand, M.1
  • 4
    • 0012175015 scopus 로고    scopus 로고
    • PhD thesis, University of Warwick
    • Still, K.: Crowd Dynamics. PhD thesis, University of Warwick (2000)
    • (2000) Crowd Dynamics
    • Still, K.1
  • 5
    • 16344391062 scopus 로고    scopus 로고
    • Self-organised pedestrian crowd dynamics: Experiments, simulations and design solutions
    • D.Helbing, L.Buzna, A.Johansson, T.Werner: Self-organised pedestrian crowd dynamics: experiments, simulations and design solutions. Transportation Science 39 (2005) 1-24
    • (2005) Transportation Science , vol.39 , pp. 1-24
    • Helbing, D.1    Buzna, L.2    Johansson, A.3    Werner, T.4
  • 6
    • 0034727079 scopus 로고    scopus 로고
    • Simulating dynamical features of escape panic
    • Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407 (2000) 487-490
    • (2000) Nature , vol.407 , pp. 487-490
    • Helbing, D.1    Farkas, I.2    Vicsek, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.