메뉴 건너뛰기




Volumn , Issue , 2008, Pages 154-161

Learning and classification of trajectories in dynamic scenes: A general framework for live video analysis

Author keywords

[No Author keywords available]

Indexed keywords

BATCH UPDATES; DYNAMIC SCENES; LIVE VIDEOS; MIXTURE OF GAUSSIANS; MOTION PATTERNS; OBJECT TRAJECTORIES; ON-LINE FASHIONS; PAST AND PRESENTS; POINTS OF INTERESTS; SCENE DESCRIPTIONS; SCENE GRAPHS; SPATIO TEMPORALS; TEMPORAL VARIATIONS;

EID: 60849129821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2008.65     Document Type: Conference Paper
Times cited : (52)

References (12)
  • 1
    • 0000470942 scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • Sept
    • N. Johnson and D. Hogg, "Learning the distribution of object trajectories for event recognition," in Proc. British Conf. Machine Vision, vol. 2, Sept. 1995, pp. 583-592.
    • (1995) Proc. British Conf. Machine Vision , vol.2 , pp. 583-592
    • Johnson, N.1    Hogg, D.2
  • 2
    • 84951866186 scopus 로고    scopus 로고
    • Application of the self-organising map to trajectory classification
    • July
    • J. Owens and A. Hunter, "Application of the self-organising map to trajectory classification," in Proc. IEEE Visual Surveillance, July 2000, pp. 77-83.
    • (2000) Proc. IEEE Visual Surveillance , pp. 77-83
    • Owens, J.1    Hunter, A.2
  • 3
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • Aug
    • C. Stauffer and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Machine lntell., vol. 22, no. 8, pp. 747-757, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Machine lntell , vol.22 , Issue.8 , pp. 747-757
    • Stauffer, C.1    Grimson, W.E.L.2
  • 5
    • 20444410793 scopus 로고    scopus 로고
    • Learning semantic scene models from observing activity in visual surveillance
    • June
    • D. Makris and T. Ellis, "Learning semantic scene models from observing activity in visual surveillance," IEEE Trans. Syst., Man, Cybern. B, vol. 35, no. 3, pp. 397-08, June 2005.
    • (2005) IEEE Trans. Syst., Man, Cybern. B , vol.35 , Issue.3 , pp. 397-408
    • Makris, D.1    Ellis, T.2
  • 6
    • 33748453850 scopus 로고    scopus 로고
    • On-line trajectory clustering for anomalous events detection
    • Nov
    • C. Piciarelli and G. L. Foresti, "On-line trajectory clustering for anomalous events detection," Pattern Recognition Letters, vol. 27, no. 15, pp. 1835-1842, Nov. 2006.
    • (2006) Pattern Recognition Letters , vol.27 , Issue.15 , pp. 1835-1842
    • Piciarelli, C.1    Foresti, G.L.2
  • 7
    • 50549103905 scopus 로고    scopus 로고
    • A survey of vision-based trajectory learning and analysis for surveillance
    • to be published
    • B. T. Morris and M. M. Trivedi, "A survey of vision-based trajectory learning and analysis for surveillance," IEEE Trans. Circuits Syst. Video Technol., 2008, to be published.
    • (2008) IEEE Trans. Circuits Syst. Video Technol
    • Morris, B.T.1    Trivedi, M.M.2
  • 8
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Stat. Soc., vol. 39, pp. 1-38, 1977.
    • (1977) J. Royal Stat. Soc , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 9
    • 33847702031 scopus 로고    scopus 로고
    • Track-based finding of stopping pedestrians - a practical approach for analyzing a public infrastructure
    • Toronto, Canada, Sept
    • N. Brandle, D. Bauer, and S. Seer, "Track-based finding of stopping pedestrians - a practical approach for analyzing a public infrastructure," in Proc. IEEE Conf. lntell. Transport. Syst., Toronto, Canada, Sept. 2006, pp. 115-120.
    • (2006) Proc. IEEE Conf. lntell. Transport. Syst , pp. 115-120
    • Brandle, N.1    Bauer, D.2    Seer, S.3
  • 11
    • 0030359637 scopus 로고    scopus 로고
    • Variance compensation within the MLLR framework for robust speech recognition and speaker adaptation
    • Oct
    • M. Gales, D. Pye, and P. Woodland, "Variance compensation within the MLLR framework for robust speech recognition and speaker adaptation," in Proc. IEEE Intl. Conf. Spoken Language, Oct. 1996, pp. 1832-1835.
    • (1996) Proc. IEEE Intl. Conf. Spoken Language , pp. 1832-1835
    • Gales, M.1    Pye, D.2    Woodland, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.