메뉴 건너뛰기




Volumn 18, Issue 11, 2008, Pages 1544-1554

Trajectory-based anomalous event detection

Author keywords

Anomaly detection; event analysis; support vector machines (SVMs); trajectory clustering.

Indexed keywords

APPLICATIONS; FLOW OF SOLIDS; GEARS; IMAGE RETRIEVAL; INFORMATION THEORY; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; PHOTOGRAPHY; SUPPORT VECTOR MACHINES; TRAJECTORIES; VECTORS; VIDEO AMPLIFIERS; VIDEO RECORDING;

EID: 55149098943     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2008.2005599     Document Type: Article
Times cited : (510)

References (42)
  • 1
    • 0037428183 scopus 로고    scopus 로고
    • Learning and understanding dynamic scene activity: A review
    • H. Buxton, "Learning and understanding dynamic scene activity: A review," Image Vis. Comput., vol. 21, pp. 125-136, 2003.
    • (2003) Image Vis. Comput , vol.21 , pp. 125-136
    • Buxton, H.1
  • 2
    • 3543105519 scopus 로고    scopus 로고
    • A survey on visual surveillance of object motion and behaviors
    • Aug
    • W. Hu, T. Tan, L. Wang, and S. Maybank, "A survey on visual surveillance of object motion and behaviors," IEEE Trans. Syst. Man Cybern. C, Appl. Rev., vol. 34, no. 3, pp. 334-352, Aug. 2004.
    • (2004) IEEE Trans. Syst. Man Cybern. C, Appl. Rev , vol.34 , Issue.3 , pp. 334-352
    • Hu, W.1    Tan, T.2    Wang, L.3    Maybank, S.4
  • 3
    • 0034245366 scopus 로고    scopus 로고
    • Recognition of visual activities and interactions by stochastic parsing
    • Aug
    • Y. Ivanov and A. Bobick, "Recognition of visual activities and interactions by stochastic parsing," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 852-872, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell , vol.22 , Issue.8 , pp. 852-872
    • Ivanov, Y.1    Bobick, A.2
  • 4
    • 0041940054 scopus 로고    scopus 로고
    • D. Minnen, I. Essa, and T. Starner, Expectation grammars: Leveraging high-level expectations for activity recognition, in Comput. Vis. Pattern Recognit., 2003, pp. II-626-II-632.
    • D. Minnen, I. Essa, and T. Starner, "Expectation grammars: Leveraging high-level expectations for activity recognition," in Comput. Vis. Pattern Recognit., 2003, pp. II-626-II-632.
  • 5
    • 0036932166 scopus 로고    scopus 로고
    • Recognizing multitasked activities from video using stochastic context-free grammar
    • D. Moore and I. Essa, "Recognizing multitasked activities from video using stochastic context-free grammar," in Proc. 18th Nat. Conf. Artif. Intell., 2002, pp. 770-776.
    • (2002) Proc. 18th Nat. Conf. Artif. Intell , pp. 770-776
    • Moore, D.1    Essa, I.2
  • 6
    • 84880838819 scopus 로고    scopus 로고
    • Automatic video interpretation: A novel algorithm for temporal scenario recognition
    • Acapulco, Mexico
    • V. Vu, F. Brémond, and M. Thonnat, "Automatic video interpretation: A novel algorithm for temporal scenario recognition," in Proc. 8th Int. Joint Conf. Artif. Intell., Acapulco, Mexico, 2003, pp. 9-15.
    • (2003) Proc. 8th Int. Joint Conf. Artif. Intell , pp. 9-15
    • Vu, V.1    Brémond, F.2    Thonnat, M.3
  • 7
    • 0011187970 scopus 로고    scopus 로고
    • Monitoring human behavior from video taken in an office environment
    • D. Ayers and M. Shah, "Monitoring human behavior from video taken in an office environment," Image Vis. Comput., vol. 19, no. 2, pp. 833-846, 2001.
    • (2001) Image Vis. Comput , vol.19 , Issue.2 , pp. 833-846
    • Ayers, D.1    Shah, M.2
  • 9
    • 0034245337 scopus 로고    scopus 로고
    • Multiobject behavior recognition by event driven selective attention method
    • Aug
    • T. Wada and T. Matsuyama, "Multiobject behavior recognition by event driven selective attention method," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 873-887, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell , vol.22 , Issue.8 , pp. 873-887
    • Wada, T.1    Matsuyama, T.2
  • 10
    • 0034245149 scopus 로고    scopus 로고
    • A bayesian computer vision system for modeling human interactions
    • Aug
    • N. Oliver, B. Rosario, and A. Pentland, "A bayesian computer vision system for modeling human interactions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 831-843, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell , vol.22 , Issue.8 , pp. 831-843
    • Oliver, N.1    Rosario, B.2    Pentland, A.3
  • 11
    • 0035270032 scopus 로고    scopus 로고
    • Learning variable length Markov models of behavior
    • A. Galata, N. Johnson, and D. Hogg, "Learning variable length Markov models of behavior," Comput. Vis. Image Understand., vol. 81, no. 3, pp. 398-413, 2001.
    • (2001) Comput. Vis. Image Understand , vol.81 , Issue.3 , pp. 398-413
    • Galata, A.1    Johnson, N.2    Hogg, D.3
  • 12
    • 0034245056 scopus 로고    scopus 로고
    • Discovery and segmentation of activities in video
    • Aug
    • M. Brand and V. Kettnaker, "Discovery and segmentation of activities in video," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 844-851, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell , vol.22 , Issue.8 , pp. 844-851
    • Brand, M.1    Kettnaker, V.2
  • 13
    • 34347372619 scopus 로고    scopus 로고
    • Object trajectory-based activity classification and recognition using hidden Markov models
    • Jul
    • F. Bashir, A. Khokhar, and D. Schonfeld, "Object trajectory-based activity classification and recognition using hidden Markov models," IEEE Trans. Image Process., vol. 16, no. 7, pp. 1912-1919, Jul. 2007.
    • (2007) IEEE Trans. Image Process , vol.16 , Issue.7 , pp. 1912-1919
    • Bashir, F.1    Khokhar, A.2    Schonfeld, D.3
  • 14
    • 4944221737 scopus 로고    scopus 로고
    • Video based event recognition: Activity representation and probabilistic methods
    • S. Hongeng, R. Nevatia, and F. Brémond, "Video based event recognition: Activity representation and probabilistic methods," Comput. Vis. Image Understand., vol. 96, pp. 129-162, 2004.
    • (2004) Comput. Vis. Image Understand , vol.96 , pp. 129-162
    • Hongeng, S.1    Nevatia, R.2    Brémond, F.3
  • 15
    • 21144437690 scopus 로고    scopus 로고
    • Recurrent Bayesian network for the recognition of human behaviors from video
    • Graz, Austria
    • N. Moenne-Loccoz, F. Brémond, and M. Thonnat, "Recurrent Bayesian network for the recognition of human behaviors from video," in Proc. Int. Conf. O Comput. Vis. Syst., Graz, Austria, 2003, pp. 68-78.
    • (2003) Proc. Int. Conf. O Comput. Vis. Syst , pp. 68-78
    • Moenne-Loccoz, N.1    Brémond, F.2    Thonnat, M.3
  • 16
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data - A survey
    • T. W. Liao, "Clustering of time series data - A survey," Pattern Recognit., vol. 38, no. 11, pp. 1857-1874, 2005.
    • (2005) Pattern Recognit , vol.38 , Issue.11 , pp. 1857-1874
    • Liao, T.W.1
  • 17
    • 0030216085 scopus 로고    scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • N. Johnson and D. Hogg, "Learning the distribution of object trajectories for event recognition," Image Vis. Comput., vol. 14, no. 8, pp. 609-615, 1996.
    • (1996) Image Vis. Comput , vol.14 , Issue.8 , pp. 609-615
    • Johnson, N.1    Hogg, D.2
  • 18
    • 0036783471 scopus 로고    scopus 로고
    • Representation and synthesis of behavior using Gaussian mixtures
    • N. Johnson and D. Hogg, "Representation and synthesis of behavior using Gaussian mixtures," Image Vis. Comput., vol. 20, pp. 889-894, 2002.
    • (2002) Image Vis. Comput , vol.20 , pp. 889-894
    • Johnson, N.1    Hogg, D.2
  • 19
    • 0034244889 scopus 로고    scopus 로고
    • Learning patterns of activity using real-time tracking
    • Aug
    • C. Stauffer and W. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 852-872, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell , vol.22 , Issue.8 , pp. 852-872
    • Stauffer, C.1    Grimson, W.2
  • 20
    • 0036783840 scopus 로고    scopus 로고
    • Path detection in video surveillance
    • D. Makris and T. Ellis, "Path detection in video surveillance," Image Vis. Comput., vol. 20, no. 12, pp. 895-903, 2002.
    • (2002) Image Vis. Comput , vol.20 , Issue.12 , pp. 895-903
    • Makris, D.1    Ellis, T.2
  • 21
    • 20444410793 scopus 로고    scopus 로고
    • Learning semantic scene models from observing activity in visual surveillance
    • Jun
    • D. Makris and T. Ellis, "Learning semantic scene models from observing activity in visual surveillance," IEEE Trans. Syst. Man Cybern. B, Cybern., vol. 35, no. 3, pp. 397-408, Jun. 2005.
    • (2005) IEEE Trans. Syst. Man Cybern. B, Cybern , vol.35 , Issue.3 , pp. 397-408
    • Makris, D.1    Ellis, T.2
  • 22
    • 33748453850 scopus 로고    scopus 로고
    • On-line trajectory clustering for anomalous events detection
    • C. Piciarelli and G. Foresti, "On-line trajectory clustering for anomalous events detection," Pattern Recognit. Lett., vol. 27, pp. 1835-1842, 2006.
    • (2006) Pattern Recognit. Lett , vol.27 , pp. 1835-1842
    • Piciarelli, C.1    Foresti, G.2
  • 23
    • 49049113739 scopus 로고    scopus 로고
    • Trajectory distance metric using hidden Markov model based representation
    • Prague, Czech Republic
    • F. Porikli, "Trajectory distance metric using hidden Markov model based representation," in Proc. 8th Eur. Conf. Comput. Vis., PETS Workshop, Prague, Czech Republic, 2004, pp. 9-16.
    • (2004) Proc. 8th Eur. Conf. Comput. Vis., PETS Workshop , pp. 9-16
    • Porikli, F.1
  • 25
    • 3543133192 scopus 로고    scopus 로고
    • J. Lou, Q. Liu, T. Tan, and W. Hu, Semantic interpretation of object activities in a surveillance system, in Proc. Int. Conf. Pattern Recognit., Quebec City, QC, Canada, 2002, pp. 111:777-780.
    • J. Lou, Q. Liu, T. Tan, and W. Hu, "Semantic interpretation of object activities in a surveillance system," in Proc. Int. Conf. Pattern Recognit., Quebec City, QC, Canada, 2002, pp. 111:777-780.
  • 26
    • 0034205098 scopus 로고    scopus 로고
    • Statistical models of object interaction
    • R. Morris and D. Hogg, "Statistical models of object interaction," Int. J. Comput. Vis., vol. 37, no. 2, pp. 209-215, 2000.
    • (2000) Int. J. Comput. Vis , vol.37 , Issue.2 , pp. 209-215
    • Morris, R.1    Hogg, D.2
  • 27
    • 33745844069 scopus 로고    scopus 로고
    • Learning semantic scene models by trajectory analysis
    • Graz, Austria
    • X. Wang, K. Tieu, and E. Grimson, "Learning semantic scene models by trajectory analysis," in Proc. Eur. Conf. Comput. Vis., Graz, Austria, 2006, pp. 110-123.
    • (2006) Proc. Eur. Conf. Comput. Vis , pp. 110-123
    • Wang, X.1    Tieu, K.2    Grimson, E.3
  • 30
    • 24944439550 scopus 로고    scopus 로고
    • D. Lee and J. Lee, Trajectory-based support vector multicategory classifier, in Proc. Int. Symp. Neural Netw., Chongquing, China, 2005, pp. 857-862.
    • D. Lee and J. Lee, "Trajectory-based support vector multicategory classifier," in Proc. Int. Symp. Neural Netw., Chongquing, China, 2005, pp. 857-862.
  • 32
    • 0010864753 scopus 로고
    • Pattern recognition using generalized portrait method
    • V. Vapnik and A. Lerner, "Pattern recognition using generalized portrait method," Autom. Remote Control, vol. 24, pp. 774-780, 1963.
    • (1963) Autom. Remote Control , vol.24 , pp. 774-780
    • Vapnik, V.1    Lerner, A.2
  • 37
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. B. O. Chapelle, V. Vapnik, and S. Maukherjee, "Choosing multiple parameters for support vector machines," Mach. Learn., vol. 46, no. 1-3, pp. 131-159, 2002.
    • (2002) Mach. Learn , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.B.O.1    Vapnik, V.2    Maukherjee, S.3
  • 38
    • 21844440579 scopus 로고    scopus 로고
    • Core vector machines: Fast SVM training on very large data sets
    • I. Tsang, J. Kwok, and P. Cheung, "Core vector machines: Fast SVM training on very large data sets," J. Mach. Learn. Res., vol. 6, pp. 363-392, 2005.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 363-392
    • Tsang, I.1    Kwok, J.2    Cheung, P.3
  • 39
    • 49749105200 scopus 로고    scopus 로고
    • Disk aware discord discovery: Finding unusual time series in terabyte sized datasets
    • Omaha, NE
    • D. Yankov, E. Keogh, and U. Rebbapragada, "Disk aware discord discovery: Finding unusual time series in terabyte sized datasets," in Proc. IEEE Int. Conf. Data Mining, Omaha, NE, 2007, pp. 381-390.
    • (2007) Proc. IEEE Int. Conf. Data Mining , pp. 381-390
    • Yankov, D.1    Keogh, E.2    Rebbapragada, U.3
  • 40
    • 34548547034 scopus 로고    scopus 로고
    • Hot SAX: Efficiently finding the most unusual time series subsequence
    • Houston, TX
    • E. Keogh, J. Lin, and A. Fu, "Hot SAX: Efficiently finding the most unusual time series subsequence," in Proc. IEEE Int. Conf. Data Mining, Houston, TX, 2005, pp. 226-233.
    • (2005) Proc. IEEE Int. Conf. Data Mining , pp. 226-233
    • Keogh, E.1    Lin, J.2    Fu, A.3
  • 41
    • 33845335507 scopus 로고    scopus 로고
    • Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space
    • A. Naftel and S. Khalid, "Classifying spatiotemporal object trajectories using unsupervised learning in the coefficient feature space," Multimedia Syst., vol. 12, no. 3, pp. 227-238, 2006.
    • (2006) Multimedia Syst , vol.12 , Issue.3 , pp. 227-238
    • Naftel, A.1    Khalid, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.