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Volumn , Issue , 2011, Pages 150-157

Integrating pedestrian simulation, tracking and event detection for crowd analysis

Author keywords

[No Author keywords available]

Indexed keywords

CROWD ANALYSIS; DETECTION AND TRACKING; EVENT DETECTION; GRAPH-BASED; IMAGE SEQUENCE; INTEGRATED FRAMEWORKS; PEDESTRIAN FLOW; PEDESTRIAN SIMULATION; PEDESTRIAN TRAJECTORIES; REAL WORLD DATA; SIMULATION MODEL;

EID: 84856632164     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130237     Document Type: Conference Paper
Times cited : (50)

References (32)
  • 1
    • 34047209295 scopus 로고    scopus 로고
    • Hidden Markov Models for optical flow analysis in crowds
    • E. Andrade and R. Fisher. Hidden Markov Models for optical flow analysis in crowds. ICPR:460-463, 2006.
    • (2006) ICPR , pp. 460-463
    • Andrade, E.1    Fisher, R.2
  • 4
    • 80054019360 scopus 로고    scopus 로고
    • Event detection based on a pedestrian interaction graph using Hidden Markov Models
    • Photogrammetric Image Analysis Springer in print
    • F. Burkert and M. Butenuth. Event detection based on a pedestrian interaction graph using Hidden Markov Models. Photogrammetric Image Analysis, Springer, LNCS 6952, in print, 2011.
    • (2011) LNCS , vol.6952
    • Burkert, F.1    Butenuth, M.2
  • 5
    • 77956529441 scopus 로고    scopus 로고
    • People Trajectory Mining with Statistical Pattern Recognition
    • S. Calderara and R. Cucchiara. People Trajectory Mining with Statistical Pattern Recognition. CVPR Workshop, on CD, 2010.
    • (2010) CVPR Workshop, on CD
    • Calderara, S.1    Cucchiara, R.2
  • 7
    • 54749133522 scopus 로고    scopus 로고
    • How close are we to solving the problem of automated visual surveillance?
    • H. M. Dee and S. A. Velastin. How close are we to solving the problem of automated visual surveillance? Machine Vision and Applications, 19(5-6):329-343, 2008.
    • (2008) Machine Vision and Applications , vol.19 , Issue.5-6 , pp. 329-343
    • Dee, H.M.1    Velastin, S.A.2
  • 9
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie and R. Tibshirani. Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 28(2):337-374, 2000.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 12
    • 77951954109 scopus 로고    scopus 로고
    • Adaptive pedestrian dynamics based on geodesics
    • D. Hartmann. Adaptive pedestrian dynamics based on geodesics. New Journal of Physics, 12(4): 043032, 2010.
    • (2010) New Journal of Physics , vol.12 , Issue.4 , pp. 043032
    • Hartmann, D.1
  • 13
    • 35949007691 scopus 로고
    • Social Force Model for Pedestrian Dynamics
    • D. Helbing and P. Molnár. Social Force Model for Pedestrian Dynamics. Physical Review E, 51(5):4282-4286, 1995.
    • (1995) Physical Review e , vol.51 , Issue.5 , pp. 4282-4286
    • Helbing, D.1    Molnár, P.2
  • 14
    • 0016336636 scopus 로고
    • On the fluid mechanics of human crowd motion
    • L. F. Henderson. On the fluid mechanics of human crowd motion. Transportation Research, 8(6):509-515, 1974.
    • (1974) Transportation Research , vol.8 , Issue.6 , pp. 509-515
    • Henderson, L.F.1
  • 15
    • 56749166165 scopus 로고    scopus 로고
    • Robust object tracking by hierarchical association of detection responses
    • ECCV Springer
    • C. Huang, B. Wu and R. Nevatia. Robust object tracking by hierarchical association of detection responses. ECCV, Springer, LNCS 5303:788-801, 2008.
    • (2008) LNCS , vol.5303 , pp. 788-801
    • Huang, C.1    Wu, B.2    Nevatia, R.3
  • 17
    • 84912572069 scopus 로고    scopus 로고
    • Generating sparse navigation graphs for microscopic pedestrian simulation models
    • A. Kneidl, A. Borrmann and D. Hartmann. Generating sparse navigation graphs for microscopic pedestrian simulation models. EG-ICE Workshop, 2011.
    • (2011) EG-ICE Workshop
    • Kneidl, A.1    Borrmann, A.2    Hartmann, D.3
  • 18
    • 77953869747 scopus 로고    scopus 로고
    • Vehicle detection in very high resolution satellite images of city areas
    • J. Leitloff, S. Hinz and U. Stilla. Vehicle detection in very high resolution satellite images of city areas. IEEE Trans. GRS, 48(7):2795-2806, 2010.
    • (2010) IEEE Trans. GRS , vol.48 , Issue.7 , pp. 2795-2806
    • Leitloff, J.1    Hinz, S.2    Stilla, U.3
  • 19
    • 47749109841 scopus 로고    scopus 로고
    • Person tracking in uav video
    • Multimodal Technologies for Perception of Humans International Evaluation Workshop. Springer
    • A. Miller, P. Babenko, M. Hu and M. Shah. Person tracking in uav video. Multimodal Technologies for Perception of Humans, International Evaluation Workshop. Springer, LNCS 4625:215-220, 2008.
    • (2008) LNCS , vol.4625 , pp. 215-220
    • Miller, A.1    Babenko, P.2    Hu, M.3    Shah, M.4
  • 21
    • 0034245149 scopus 로고    scopus 로고
    • A bayesian computer vision system for modeling human interactions
    • N. M. Oliver, B. Rosario and A. P. Pentland. A Bayesian Computer Vision System for Modeling Human Interactions. IEEE Trans. PAMI, 22(8):831-843, 2000.
    • (2000) IEEE Trans. PAMI , vol.22 , Issue.8 , pp. 831-843
    • Oliver, N.M.1    Rosario, B.2    Pentland, A.P.3
  • 22
    • 0018306059 scopus 로고    scopus 로고
    • A threshold selection method from gray-level histograms
    • N. Otsu. A threshold selection method from gray-level histograms. IEEE Trans. SMC, 9(1):62-66.
    • IEEE Trans. SMC , vol.9 , Issue.1 , pp. 62-66
    • Otsu, N.1
  • 23
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • L. R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 77(2): 257-286, 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 24
    • 78149290688 scopus 로고    scopus 로고
    • Detection and tracking of large number of targets in wide area surveillance
    • Proceedings of European Conference on Computer Vision. Springer
    • V. Reilly, H. Idrees and M. Shah. Detection and tracking of large number of targets in wide area surveillance. Proceedings of European Conference on Computer Vision. Springer, LNCS 6313:186-99, 2010.
    • (2010) LNCS , vol.6313 , pp. 186-199
    • Reilly, V.1    Idrees, H.2    Shah, M.3
  • 25
    • 78149293309 scopus 로고    scopus 로고
    • Geometric constraints for human detection in aerial imagery
    • Proceedings of European Conference on Computer Vision. Springer
    • V. Reilly, B. Solmaz, M. Shah. Geometric constraints for human detection in aerial imagery. Proceedings of European Conference on Computer Vision. Springer, LNCS 6316:252-265, 2010.
    • (2010) LNCS , vol.6316 , pp. 252-265
    • Reilly, V.1    Solmaz, B.2    Shah, M.3
  • 26
    • 84871610129 scopus 로고    scopus 로고
    • Faster and Better: A machine learning approach to corner detection
    • E. Rosten, R. Porter, T. Drummond. Faster and Better: A machine learning approach to corner detection. IEEE Trans. PAMI, 32(1):105-119, 2010.
    • (2010) IEEE Trans. PAMI , vol.32 , Issue.1 , pp. 105-119
    • Rosten, E.1    Porter, R.2    Drummond, T.3
  • 28
    • 80054042200 scopus 로고    scopus 로고
    • A scheme for the detection and tracking of people tuned for aerial image sequences
    • Photogrammetric Image Analysis Springer in print
    • F. Schmidt, S. Hinz. A Scheme for the Detection and Tracking of People Tuned for Aerial Image Sequences. Photogrammetric Image Analysis, Springer, LNCS 6952, in print, 2011.
    • (2011) LNCS , vol.6952
    • Schmidt, F.1    Hinz, S.2
  • 30
    • 76249126657 scopus 로고    scopus 로고
    • Quantitative comparison of spot detection methods in fluorescence microscopy
    • I. Smal, M. Loog, W. Niessen and E. Meijering. Quantitative comparison of spot detection methods in fluorescence microscopy. IEEE Trans. Medical Imaging, 29(2):282-301, 2010.
    • (2010) IEEE Trans. Medical Imaging , vol.29 , Issue.2 , pp. 282-301
    • Smal, I.1    Loog, M.2    Niessen, W.3    Meijering, E.4
  • 31
    • 80052959472 scopus 로고    scopus 로고
    • Trajectory analysis and semantic region modeling using nonparametric hierarchical bayesian models
    • in print DOI 10. 1007/s11263-011-0459-6
    • X. Wang, K. T. Ma, G. Ng and W. E. L. Grimson. Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models. International Journal of Computer Vision, in print, DOI 10. 1007/s11263-011- 0459-6, 2011.
    • (2011) International Journal of Computer Vision
    • Wang, X.1    Ma, K.T.2    Ng, G.3    Grimson, W.E.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.