메뉴 건너뛰기




Volumn 12, Issue 3, 2006, Pages 227-238

Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space

Author keywords

Anomaly detection; Event mining; Motion classification; Object trajectory; Trajectory clustering

Indexed keywords

APPROXIMATION THEORY; DEMODULATION; DISCRETE FOURIER TRANSFORMS; IMAGE PROCESSING; LEARNING SYSTEMS; MOTION PICTURES; POLYNOMIALS; TIME SERIES ANALYSIS;

EID: 33845335507     PISSN: 09424962     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00530-006-0058-5     Document Type: Conference Paper
Times cited : (96)

References (38)
  • 1
    • 0344827246 scopus 로고    scopus 로고
    • Content-trajectory approach for searching video databases
    • Aghbari, Z., Kaneko, K., Makinouchi, A.: Content-trajectory approach for searching video databases. IEEE Trans. Multimedia 5(4), 516-531 (2003)
    • (2003) IEEE Trans. Multimedia , vol.5 , Issue.4 , pp. 516-531
    • Aghbari, Z.1    Kaneko, K.2    Makinouchi, A.3
  • 6
    • 33746924031 scopus 로고    scopus 로고
    • View-invariant motion trajectory-based activity classification and recognition
    • Bashir, F., Ashfaq, A., Khokhar, A., Schonfeld, D.: View-invariant motion trajectory-based activity classification and recognition. ACM Multimedia Syst. 12(1), 45-54 (2006)
    • (2006) ACM Multimedia Syst. , vol.12 , Issue.1 , pp. 45-54
    • Bashir, F.1    Ashfaq, A.2    Khokhar, A.3    Schonfeld, D.4
  • 11
    • 29844444110 scopus 로고    scopus 로고
    • Robust and fast similarity search for moving object databases
    • Maryland
    • Chen, L., Ozsu, M.T., Oria, V.: Robust and fast similarity search for moving object databases. In: Proceedings of ACM SIGMOD, Maryland, pp. 491-502 (2005)
    • (2005) Proceedings of ACM SIGMOD , pp. 491-502
    • Chen, L.1    Ozsu, M.T.2    Oria, V.3
  • 12
    • 3142777878 scopus 로고    scopus 로고
    • Indexing spatio-temporal trajectories with Chebyshev polynomials
    • Cui, Y., Ng, R.: Indexing spatio-temporal trajectories with Chebyshev polynomials. In: Proceedings of ACM SIGMOD Conference, pp. 599-610 (2004)
    • (2004) Proceedings of ACM SIGMOD Conference , pp. 599-610
    • Cui, Y.1    Ng, R.2
  • 17
    • 3543105519 scopus 로고    scopus 로고
    • A survey on visual surveillance of object motion and behaviors
    • Hu, W., Tan, T., Wang, L., Maybank, S.: A survey on visual surveillance of object motion and behaviors. IEEE Trans. Syst. Man Cybern. C 34(3), 334-352 (2004)
    • (2004) IEEE Trans. Syst. Man Cybern. C , vol.34 , Issue.3 , pp. 334-352
    • Hu, W.1    Tan, T.2    Wang, L.3    Maybank, S.4
  • 18
    • 2942594628 scopus 로고    scopus 로고
    • Traffic accident prediction using 3-D model-based vehicle tracking
    • Hu, W., Xiao, X., Xie, D., Tan, T., Maybank, S.: Traffic accident prediction using 3-D model-based vehicle tracking. IEEE Trans. Vehicular Tech. 53(3), 677-694 (2004)
    • (2004) IEEE Trans. Vehicular Tech. , vol.53 , Issue.3 , pp. 677-694
    • Hu, W.1    Xiao, X.2    Xie, D.3    Tan, T.4    Maybank, S.5
  • 19
    • 2942545859 scopus 로고    scopus 로고
    • Learning activity patterns using fuzzy self-organizing neural networks
    • Hu, W., Xie, D., Tan, T., Maybank, S.: Learning activity patterns using fuzzy self-organizing neural networks. IEEE Trans. Syst. Man Cybern. B, 34(3), 1618-1626 (2004)
    • (2004) IEEE Trans. Syst. Man Cybern. B , vol.34 , Issue.3 , pp. 1618-1626
    • Hu, W.1    Xie, D.2    Tan, T.3    Maybank, S.4
  • 20
    • 33845338749 scopus 로고    scopus 로고
    • Machine learning for biological classification applications
    • Technical Report Center for Turbulence Research
    • Ivo, F., Sbalzarinii, IT.: Machine learning for biological classification applications. In: Technical Report Center for Turbulence Research, Proceedings of the Summer Program (2002)
    • (2002) Proceedings of the Summer Program
    • Ivo, F.1    Sbalzarinii, I.T.2
  • 24
    • 0030216085 scopus 로고    scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • Johnson, N., Hogg, D.: Learning the distribution of object trajectories for event recognition. Image Vis. Comput. 14(8), 609-615 (1996)
    • (1996) Image Vis. Comput. , vol.14 , Issue.8 , pp. 609-615
    • Johnson, N.1    Hogg, D.2
  • 26
    • 33845314296 scopus 로고    scopus 로고
    • [Online]
    • KDD archive [Online], Available: [http://kdd.ics.uci.edu/databases/ auslan2/auslan.data.html]
  • 28
    • 0042711018 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: A survey and empirical demonstration
    • Keogh, E., Kasetty, S.: On the need for time series data mining benchmarks: A survey and empirical demonstration. Data Mining and Knowledge Discovery. 7(4), 349-371 (2003)
    • (2003) Data Mining and Knowledge Discovery , vol.7 , Issue.4 , pp. 349-371
    • Keogh, E.1    Kasetty, S.2
  • 29
  • 35
    • 35048819972 scopus 로고    scopus 로고
    • Trajectory-based video retrieval for multimedia information systems
    • Shim, C., Chang, J.: Trajectory-based video retrieval for multimedia information systems. In: Proceedings of ADVIS, pp. 372-382 (2004)
    • (2004) Proceedings of ADVIS , pp. 372-382
    • Shim, C.1    Chang, J.2
  • 37
    • 0036522847 scopus 로고    scopus 로고
    • Recent developments in human motion analysis
    • Wang, L., Hu, W., Tan, T.: Recent developments in human motion analysis. Pattern Recogn. 36(3), 585-601 (2003)
    • (2003) Pattern Recogn. , vol.36 , Issue.3 , pp. 585-601
    • Wang, L.1    Hu, W.2    Tan, T.3
  • 38
    • 0033079099 scopus 로고    scopus 로고
    • Parameterized modeling and recognition of activities
    • Yacoob, Y., Black, M.J.: Parameterized modeling and recognition of activities. Comput. Vis. Image Underst. 73(2), 232-247 (1999)
    • (1999) Comput. Vis. Image Underst. , vol.73 , Issue.2 , pp. 232-247
    • Yacoob, Y.1    Black, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.