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Volumn 33, Issue 11, 2011, Pages 2287-2301

Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach

Author keywords

abnormality detection; activity prediction; real time activity analysis; Trajectory clustering; trajectory learning

Indexed keywords

ABNORMALITY DETECTION; ACTIVITY ANALYSIS; ACTIVITY MODELS; ADAPTIVE APPROACH; DATA SETS; GAUSSIAN MIXTURE MODELING; HIERARCHICAL LEARNING; LIVE VIDEO; LONG TERM MONITORING; MOTION PATTERN; OBJECT TRAJECTORIES; ON-LINE FASHION; REAL-TIME ACTIVITY ANALYSIS; SPATIO-TEMPORAL DYNAMICS; TEMPORAL VARIATION; TRAJECTORY CLUSTERING; VISUAL DATA;

EID: 80053105598     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.64     Document Type: Article
Times cited : (348)

References (43)
  • 5
    • 27344452926 scopus 로고    scopus 로고
    • Distributed interactive video arrays for event capture and enhanced situational awareness
    • Sept./Oct.
    • M.M. Trivedi, T.L. Gandhi, and K.S. Huang, "Distributed Interactive Video Arrays for Event Capture and Enhanced Situational Awareness," IEEE Intelligent Systems, vol. 20, no. 5, pp. 58-66, Sept./Oct. 2005.
    • (2005) IEEE Intelligent Systems , vol.20 , Issue.5 , pp. 58-66
    • Trivedi, M.M.1    Gandhi, T.L.2    Huang, K.S.3
  • 6
    • 35348906710 scopus 로고    scopus 로고
    • Learning the behavior of users in a public space through video tracking
    • DOI 10.1109/ACVMOT.2005.67, 4129505, Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005
    • W. Yan and D.A. Forsyth, "Learning the Behavior of Users in a Public Space through Video Tracking," Proc. IEEE Workshop Applications of Computer Vision, pp. 370-377, Jan. 2005. (Pubitemid 47592198)
    • (2007) Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005 , pp. 370-377
    • Yan, W.1    Forsyth, D.A.2
  • 7
    • 50649107683 scopus 로고    scopus 로고
    • Learning, modeling, and classification of vehicle track patterns from live video
    • Sept.
    • B.T. Morris and M.M. Trivedi, "Learning, Modeling, and Classification of Vehicle Track Patterns from Live Video," IEEE Trans. Intelligent Transport Systems, vol. 9, no. 3, pp. 425-437, Sept. 2008.
    • (2008) IEEE Trans. Intelligent Transport Systems , vol.9 , Issue.3 , pp. 425-437
    • Morris, B.T.1    Trivedi, M.M.2
  • 8
    • 27844602071 scopus 로고    scopus 로고
    • A computer vision system for the detection and classification of vehicles at urban road intersections
    • DOI 10.1007/s10044-004-0239-9
    • S. Messelodi, C.M. Modena, and M. Zanin, "A Computer Vision System for the Detection and Classification of Vehicles at Urban Road Intersections," Pattern Analysis and Applications, vol. 8, nos. 1/2, pp. 17-31, Sept. 2005. (Pubitemid 41649092)
    • (2005) Pattern Analysis and Applications , vol.8 , Issue.1-2 , pp. 17-31
    • Messelodi, S.1    Modena, C.M.2    Zanin, M.3
  • 10
    • 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," Proc. British Conf. Machine Vision, vol. 2, pp. 583-592, Sept. 1995.
    • (1995) Proc. British Conf. Machine Vision , vol.2 , pp. 583-592
    • Johnson, N.1    Hogg, D.2
  • 11
    • 0037800711 scopus 로고    scopus 로고
    • Learning spatio-temporal patterns for predicting object behavior
    • June
    • N. Sumpter and A.J. Bulpitt, "Learning Spatio-Temporal Patterns for Predicting Object Behavior," Image and Vision Computing, vol. 18, pp. 697-704, June 2000.
    • (2000) Image and Vision Computing , vol.18 , pp. 697-704
    • Sumpter, N.1    Bulpitt, A.J.2
  • 16
    • 60849129821 scopus 로고    scopus 로고
    • Learning and classification of trajectories in dynamic scenes: A general framework for live video analysis
    • Sept.
    • B. Morris and M. Trivedi, "Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis," Proc. IEEE Int'l Conf. Advanced Video and Signal Based Surveillance, pp. 154-161, Sept. 2008.
    • (2008) Proc. IEEE Int'l Conf. Advanced Video and Signal Based Surveillance , pp. 154-161
    • Morris, B.1    Trivedi, M.2
  • 17
    • 20444410793 scopus 로고    scopus 로고
    • Learning semantic scene models from observing activity in visual surveillance
    • DOI 10.1109/TSMCB.2005.846652, Learning in Computer Vision and Pattern Recognition
    • D. Makris and T. Ellis, "Learning Semantic Scene Models from Observing Activity in Visual Surveillance," IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 35, no. 3, pp. 397-408, June 2005. (Pubitemid 40802755)
    • (2005) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.35 , Issue.3 , pp. 397-408
    • Makris, D.1    Ellis, T.2
  • 18
    • 34347372619 scopus 로고    scopus 로고
    • Object trajectory-based activity classification and recognition using hidden Markov models
    • DOI 10.1109/TIP.2007.898960
    • F.I. Bashir, A.A. Khokhar, and D. Schonfeld, "Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models," IEEE Trans. Image Processing, vol. 16, no. 7, pp. 1912-1919, July 2007. (Pubitemid 47018887)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.7 , pp. 1912-1919
    • Bashir, F.I.1    Khokhar, A.A.2    Schonfeld, D.3
  • 19
    • 33748453850 scopus 로고    scopus 로고
    • On-line trajectory clustering for anomalous events detection
    • DOI 10.1016/j.patrec.2006.02.004, PII S0167865506000432
    • C. Piciarelli and G.L. Foresti, "Online Trajectory Clustering for Anomalous Events Detection," Pattern Recognition Letters, vol. 27, no. 15, pp. 1835-1842, Nov. 2006. (Pubitemid 44353852)
    • (2006) Pattern Recognition Letters , vol.27 , Issue.15 , pp. 1835-1842
    • Piciarelli, C.1    Foresti, G.L.2
  • 22
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models
    • Mar.
    • X. Wang, X. Ma, and W. Grimson, "Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models," IEEE Trans. Pattern Analysis Machine Intelligence, vol. 31, no. 3, pp. 539-555, Mar. 2009.
    • (2009) IEEE Trans. Pattern Analysis Machine Intelligence , vol.31 , Issue.3 , pp. 539-555
    • Wang, X.1    Ma, X.2    Grimson, W.3
  • 25
    • 11244309239 scopus 로고    scopus 로고
    • Learning object trajectory patterns by spectral clustering
    • 2004 IEEE International Conference on Multimedia and Expo (ICME)
    • F. Porikli, "Learning Object Trajectory Patterns by Spectral Clustering," Proc. IEEE Int'l Conf. Multimedia and Expo, vol. 2, pp. 1171-1174, June 2004. (Pubitemid 40063248)
    • (2004) 2004 IEEE International Conference on Multimedia and Expo (ICME) , vol.2 , pp. 1171-1174
    • Porikli, F.1
  • 26
    • 33749251478 scopus 로고    scopus 로고
    • HMM-based motion recognition system using segmented PCA
    • DOI 10.1109/ICIP.2005.1530635, 1530635, IEEE International Conference on Image Processing 2005, ICIP 2005
    • F. Bashir, W. Qu, A. Khokhar, and D. Schonfeld, "HMM-Based Motion Recognition System Using Segmented Pca," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 3, pp. 1288-1291, Sept. 2005. (Pubitemid 44479723)
    • (2005) Proceedings - International Conference on Image Processing, ICIP , vol.3 , pp. 1288-1291
    • Bashir, F.1    Qu, W.2    Khokhar, A.3    Schonfeld, D.4
  • 27
    • 33845335507 scopus 로고    scopus 로고
    • Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space
    • DOI 10.1007/s00530-006-0058-5
    • A. Naftel and S. Khalid, "Classifying Spatiotemporal Object Trajectories Using Unsupervised Learning in the Coefficient Feature Space," Multimedia Systems, vol. 12, no. 3, pp. 227-238, Dec. 2006. (Pubitemid 44876287)
    • (2006) Multimedia Systems , vol.12 , Issue.3 , pp. 227-238
    • Naftel, A.1    Khalid, S.2
  • 28
    • 34147174850 scopus 로고    scopus 로고
    • Comparison of similarity measures for trajectory clustering in outdoor surveillance scenes
    • DOI 10.1109/ICPR.2006.392, 1699726, Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
    • Z. Zhang, K. Huang, and T. Tan, "Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes," Proc. IEEE Int'l Conf. Pattern Recognition, pp. 1135-1138, 2006. (Pubitemid 46553321)
    • (2006) Proceedings - International Conference on Pattern Recognition , vol.3 , pp. 1135-1138
    • Zhang, Z.1    Huang, K.2    Tan, T.3
  • 29
    • 34250630167 scopus 로고    scopus 로고
    • Learning traffic patterns at intersections by spectral clustering of motion trajectories
    • DOI 10.1109/IROS.2006.282362, 4059186, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
    • S. Atev, O. Masoud, and N. Papanikolopoulos, "Learning Traffic Patterns at Intersections by Spectral Clustering of Motion Trajectories," Proc. IEEE Conf. Intelligent Robots and Systems, pp. 4851-4856, Oct. 2006. (Pubitemid 46928693)
    • (2006) IEEE International Conference on Intelligent Robots and Systems , pp. 4851-4856
    • Atev, S.1    Masoud, O.2    Papanikolopoulos, N.3
  • 31
    • 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 Statistical Soc., vol. 39, pp. 1-38, 1977.
    • (1977) J. Royal Statistical Soc. , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 34
    • 70450169892 scopus 로고    scopus 로고
    • Learning trajectory patterns by clustering: Experimental studies and comparative evaluation
    • June
    • B. Morris and M. Trivedi, "Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 312-319, June 2009.
    • (2009) Proc. IEEE Conf. Computer Vision and Pattern Recognition , pp. 312-319
    • Morris, B.1    Trivedi, M.2
  • 37
    • 34047192473 scopus 로고    scopus 로고
    • Semantic-based surveillance video retrieval
    • DOI 10.1109/TIP.2006.891352
    • W. Hu, D. Xie, Z. Fu, W. Zeng, and S. Maybank, "Semantic-Based Surveillance Video Retrieval," IEEE Trans. Image Processing, vol. 16, no. 4, pp. 1168-1181, Apr. 2007. (Pubitemid 46542402)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.4 , pp. 1168-1181
    • Hu, W.1    Xie, D.2    Fu, Z.3    Zeng, W.4    Maybank, S.5
  • 40
    • 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," Proc. IEEE Int'l Conf. Spoken Language, pp. 1832-1835, Oct. 1996.
    • (1996) Proc. IEEE Int'l Conf. Spoken Language , pp. 1832-1835
    • Gales, M.1    Pye, D.2    Woodland, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.