메뉴 건너뛰기




Volumn 116, Issue 3, 2012, Pages 422-434

Bayesian filter based behavior recognition in workflows allowing for user feedback

Author keywords

Bayesian filter; Behavior recognition; Hidden Markov models; User feedback; Workflow

Indexed keywords

BAYESIAN FILTERS; BEHAVIOR MODELING; BEHAVIOR RECOGNITION; BEHAVIOR UNDERSTANDING; CLASSIFICATION RATES; CLASSIFICATION RESULTS; LEARNING PROCESS; ON-LINE RECOGNITION; RECOGNITION RATES; TO EFFECT; USER FEEDBACK; VISUAL BEHAVIOR; WORK-FLOWS; WORKFLOW;

EID: 84856095851     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2011.09.006     Document Type: Article
Times cited : (55)

References (52)
  • 5
    • 73849126715 scopus 로고    scopus 로고
    • Human action recognition in videos using kinematic features and multiple instance learning
    • S. Ali, and M. Shah Human action recognition in videos using kinematic features and multiple instance learning IEEE Transactions on Pattern Analysis and Machine Intelligence 32 2 2010 288 303
    • (2010) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.32 , Issue.2 , pp. 288-303
    • Ali, S.1    Shah, M.2
  • 8
    • 27844565238 scopus 로고    scopus 로고
    • Event detection in field sports video using audio-visual features and a support vector machine
    • DOI 10.1109/TCSVT.2005.854237
    • D. Sadlier, and N. O'Connor Event detection in field sports video using audio-visual features and a support vector machine IEEE Transactions on Circuits and Systems for Video Technology 15 10 2005 1225 1233 (Pubitemid 41640560)
    • (2005) IEEE Transactions on Circuits and Systems for Video Technology , vol.15 , Issue.10 , pp. 1225-1233
    • Sadlier, D.A.1    O'Connor, N.E.2
  • 14
    • 77949275097 scopus 로고    scopus 로고
    • A survey on vision-based human action recognition
    • R. Poppe A survey on vision-based human action recognition Image and Vision Computing 28 6 2010 976 990
    • (2010) Image and Vision Computing , vol.28 , Issue.6 , pp. 976-990
    • Poppe, R.1
  • 16
    • 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 1989 257 286
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 18
    • 44049099067 scopus 로고    scopus 로고
    • Audio-visual affective expression recognition through multistream fused HMM
    • DOI 10.1109/TMM.2008.921737, 4523967
    • Z. Zeng, J. Tu, B. Pianfetti, and T. Huang Audio-visual affective expression recognition through multistream fused HMM IEEE Transactions on Multimedia 10 4 2008 570 577 (Pubitemid 351711233)
    • (2008) IEEE Transactions on Multimedia , vol.10 , Issue.4 , pp. 570-577
    • Zeng, Z.1    Tu, J.2    Pianfetti Jr., B.M.3    Huang, T.S.4
  • 20
    • 78049401284 scopus 로고    scopus 로고
    • Robust workflow recognition using holistic features and outlier-tolerant fused hidden markov models
    • A. Voulodimos, H. Grabner, D.I. Kosmopoulos, L.J.V. Gool, T.A. Varvarigou, Robust workflow recognition using holistic features and outlier-tolerant fused hidden markov models, in: ICANN (1), 2010, pp. 551-560.
    • (2010) ICANN , Issue.1 , pp. 551-560
    • Voulodimos, A.1    Grabner, H.2    Kosmopoulos, D.I.3    Gool, L.J.V.4    Varvarigou, T.A.5
  • 23
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden markov model: Analysis and applications
    • S. Fine, Y. Singer, and N. Tishby The hierarchical hidden markov model: analysis and applications Machine Learning 32 1 1998 41 62
    • (1998) Machine Learning , vol.32 , Issue.1 , pp. 41-62
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 25
    • 4944221356 scopus 로고    scopus 로고
    • Layered representations for learning and inferring office activity from multiple sensory channels
    • N. Oliver, A. Garg, and E. Horvitz Layered representations for learning and inferring office activity from multiple sensory channels Computer Vision and Image Understanding 96 2 2004 163 180
    • (2004) Computer Vision and Image Understanding , vol.96 , Issue.2 , pp. 163-180
    • Oliver, N.1    Garg, A.2    Horvitz, E.3
  • 26
    • 54949152637 scopus 로고    scopus 로고
    • Optimising dynamic graphical models for video content analysis
    • T. Xiang, and S. Gong Optimising dynamic graphical models for video content analysis Computer Vision and Image Understanding 112 2008 310 323
    • (2008) Computer Vision and Image Understanding , vol.112 , pp. 310-323
    • Xiang, T.1    Gong, S.2
  • 27
    • 34249859348 scopus 로고    scopus 로고
    • Special issue on echo state networks and liquid state machines
    • DOI 10.1016/j.neunet.2007.04.001, PII S0893608007000305, Echo State Networks and Liquid State Machines
    • H. Jaeger, W. Maass, and J. Principe Special issue on echo state networks and liquid state machines Neural Networks 20 3 2007 287 289 (Pubitemid 46860333)
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 287-289
    • Jaeger, H.1    Maass, W.2    Principe, J.3
  • 28
    • 79953685443 scopus 로고    scopus 로고
    • Architectural and markovian factors of echo state networks
    • C. Gallicchio, and A. Micheli Architectural and markovian factors of echo state networks Neural Networks 24 5 2011 440 456
    • (2011) Neural Networks , vol.24 , Issue.5 , pp. 440-456
    • Gallicchio, C.1    Micheli, A.2
  • 29
    • 79952525554 scopus 로고    scopus 로고
    • Automatic workflow monitoring in industrial environments
    • G.V. Veres, H. Grabner, L. Middleton, L.J.V. Gool, Automatic workflow monitoring in industrial environments, in: ACCV (1), 2010, pp. 200-213.
    • (2010) ACCV , Issue.1 , pp. 200-213
    • Veres, G.V.1    Grabner, H.2    Middleton, L.3    Gool, L.J.V.4
  • 32
    • 71849098666 scopus 로고    scopus 로고
    • Smc method for online prediction in hidden markov models
    • D. Zhang, X. Ning, and X. Liu Smc method for online prediction in hidden markov models Kybernetes 38 10 2009 1819 1827
    • (2009) Kybernetes , vol.38 , Issue.10 , pp. 1819-1827
    • Zhang, D.1    Ning, X.2    Liu, X.3
  • 34
    • 33748275323 scopus 로고    scopus 로고
    • Evaluation of relevance feedback schemes in content-based in retrieval systems
    • DOI 10.1016/j.image.2005.11.006, PII S0923596505001360
    • N. Doulamis, and A. Doulamis Evaluation of relevance feedback schemes in content-based retrieval systems Signal Processing: Image Communication 21 4 2006 334 357 (Pubitemid 44316584)
    • (2006) Signal Processing: Image Communication , vol.21 , Issue.4 , pp. 334-357
    • Doulamis, N.1    Doulamis, A.2
  • 36
    • 33748275323 scopus 로고    scopus 로고
    • Evaluation of relevance feedback schemes in content-based in retrieval systems
    • Elsevier
    • N.D. Doulamis, and A.D. Doulamis Evaluation of relevance feedback schemes in content-based in retrieval systems Signal Processing: Image Communication vol. 21 2006 Elsevier 334 357
    • (2006) Signal Processing: Image Communication , vol.21 , pp. 334-357
    • Doulamis, N.D.1    Doulamis, A.D.2
  • 38
    • 78651582854 scopus 로고    scopus 로고
    • A multiple instance learning and relevance feedback framework for retrieving abnormal incidents in surveillance videos
    • Z. Chengcui, C. Wei-Bang, C. Xin, Y. Lin, and J. John A multiple instance learning and relevance feedback framework for retrieving abnormal incidents in surveillance videos Journal of Multimedia 5 2010 310 321
    • (2010) Journal of Multimedia , vol.5 , pp. 310-321
    • Chengcui, Z.1    Wei-Bang, C.2    Xin, C.3    Lin, Y.4    John, J.5
  • 39
    • 2542484619 scopus 로고    scopus 로고
    • Generalized nonlinear relevance feedback for interactive content-based retrieval and organization
    • A. Doulamis, and N. Doulamis Generalized nonlinear relevance feedback for interactive content-based retrieval and organization IEEE Transactions on Circuits and Systems for Video Technology 14 5 2004 656 671
    • (2004) IEEE Transactions on Circuits and Systems for Video Technology , vol.14 , Issue.5 , pp. 656-671
    • Doulamis, A.1    Doulamis, N.2
  • 40
    • 0037708475 scopus 로고    scopus 로고
    • Relevance feedback in image retrieval: A comprehensive review
    • X.S. Zhou, and T.S. Huang Relevance feedback in image retrieval: a comprehensive review Multimedia Systems 8 6 2003 536 544
    • (2003) Multimedia Systems , vol.8 , Issue.6 , pp. 536-544
    • Zhou, X.S.1    Huang, T.S.2
  • 43
    • 33644522380 scopus 로고    scopus 로고
    • Beyond tracking: Modelling activity and understanding behaviour
    • T. Xiang, and S. Gong Beyond tracking: modelling activity and understanding behaviour International Journal of Computer Vision 67 2006 21 51
    • (2006) International Journal of Computer Vision , vol.67 , pp. 21-51
    • Xiang, T.1    Gong, S.2
  • 44
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • DOI 10.1109/78.978374, PII S1053587X0200569X
    • M.S. Arulampalam, S. Maskell, and N. Gordon A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking IEEE Transactions on Signal Processing 50 2 2002 174 188 (Pubitemid 34291500)
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 45
    • 0001460136 scopus 로고    scopus 로고
    • On sequential monte carlo sampling methods for bayesian filtering
    • D. Arnaud, G. Simon, and A. Christophe On sequential monte carlo sampling methods for bayesian filtering Statistics and Computing 10 3 2000 197 208
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Arnaud, D.1    Simon, G.2    Christophe, A.3
  • 47
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman Random forests Machine Learning 45 2001 5 32 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 49
    • 70450190497 scopus 로고    scopus 로고
    • Adaptable neural networks for objects' tracking re-initialization
    • A. Doulamis, Adaptable neural networks for objects' tracking re-initialization, LNCS of Lecture Notes in Computer Science, vol. 5769, 2009, pp. 715-724.
    • (2009) LNCS of Lecture Notes in Computer Science , vol.5769 , pp. 715-724
    • Doulamis, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.