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Volumn 24, Issue 8, 2011, Pages 852-860

Online classification of visual tasks for industrial workflow monitoring

Author keywords

Activity recognition; ESN; Fusion; Genetic algorithm; HMM; Workflow

Indexed keywords

ACTIVITY PATTERNS; ACTIVITY RECOGNITION; ECHO STATE NETWORKS; ESN; HMM; INDUSTRIAL ENVIRONMENTS; INHERENT COMPLEXITY; INPUT STREAMS; LIMITED VISIBILITY; MULTI-CAMERAS; NOVEL METHODS; ON-LINE CLASSIFICATION; PRIOR KNOWLEDGE; TIME SERIES CLASSIFICATIONS; TRACKING MOVING TARGETS; VISUAL TASKS; WORK-FLOWS; WORKFLOW; WORKFLOW MONITORING;

EID: 80051787343     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.06.001     Document Type: Article
Times cited : (27)

References (36)
  • 2
    • 67349116864 scopus 로고    scopus 로고
    • Detecting abnormal human behaviour using multiple cameras
    • Antonakaki P., Kosmopoulos D., Perantonis S. Detecting abnormal human behaviour using multiple cameras. Signal Processing 2009, 89(9):1723-1738.
    • (2009) Signal Processing , vol.89 , Issue.9 , pp. 1723-1738
    • Antonakaki, P.1    Kosmopoulos, D.2    Perantonis, S.3
  • 3
    • 33745944021 scopus 로고    scopus 로고
    • Detecting irregularities in images and in video. In Proceedings of the IEEE international conference on computer vision. ICCV 2005
    • Boiman, O., & Irani, M. (2005). Detecting irregularities in images and in video. In Proceedings of the IEEE international conference on computer vision. ICCV 2005. Vol. 1 (pp. 462-469).
    • (2005) , vol.1 , pp. 462-469
    • Boiman, O.1    Irani, M.2
  • 4
    • 77953224786 scopus 로고    scopus 로고
    • Hunting nessie: real time abnormality detection from webcams. In Proceedings of the IEEE international conference on computer vision workshops. ICCV workshops 2009
    • Breitenstein, M., Grabner, H., & Gool, L. V. (2009). Hunting nessie: real time abnormality detection from webcams. In Proceedings of the IEEE international conference on computer vision workshops. ICCV workshops 2009 (pp. 1243-1250).
    • (2009) , pp. 1243-1250
    • Breitenstein, M.1    Grabner, H.2    Gool, L.V.3
  • 6
    • 0034270644 scopus 로고    scopus 로고
    • Audio-visual speech modeling for continuous speech recognition
    • Dupont S., Luettin J. Audio-visual speech modeling for continuous speech recognition. IEEE Transactions on Multimedia 2000, 2(3):141-151.
    • (2000) IEEE Transactions on Multimedia , vol.2 , Issue.3 , pp. 141-151
    • Dupont, S.1    Luettin, J.2
  • 7
    • 0344983342 scopus 로고    scopus 로고
    • Recognizing action at a distance. In Proceedings of the IEEE international conference on computer vision. ICCV 2003
    • Efros, A. A., Berg, A. C., Mori, G., & Malik, J. (2003). Recognizing action at a distance. In Proceedings of the IEEE international conference on computer vision. ICCV 2003 (pp. 726-733).
    • (2003) , pp. 726-733
    • Efros, A.A.1    Berg, A.C.2    Mori, G.3    Malik, J.4
  • 8
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2008
    • Felzenszwalb, P., McAllester, D., & Ramanan, D. (2008). A discriminatively trained, multiscale, deformable part model. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2008 (pp. 1-8).
    • (2008) , pp. 1-8
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 9
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden Markov model: analysis and applications
    • Fine S., Singer Y., Tishby N. The hierarchical hidden Markov model: analysis and applications. Machine Learning 1998, 32(1):41-62.
    • (1998) Machine Learning , vol.32 , Issue.1 , pp. 41-62
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 10
    • 79953685443 scopus 로고    scopus 로고
    • Architectural and Markovian factors of echo state networks
    • Gallicchio C., Micheli A. Architectural and Markovian factors of echo state networks. Neural Networks 2011, 24(5):440-456.
    • (2011) Neural Networks , vol.24 , Issue.5 , pp. 440-456
    • Gallicchio, C.1    Micheli, A.2
  • 11
    • 33845570001 scopus 로고    scopus 로고
    • On-line boosting and vision. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2006
    • Grabner, H., & Bischof, H. (2006). On-line boosting and vision. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2006. Vol. 1 (pp. 260-267).
    • (2006) , vol.1 , pp. 260-267
    • Grabner, H.1    Bischof, H.2
  • 12
    • 58849105551 scopus 로고    scopus 로고
    • Echo state networks for online prediction of movement data-comparing investigations. In Proceedings of the international conference on artificial neural networks. ICANN 2008
    • Hellbach, S., Strauss, S., Eggert, J., Komer, E., & Gross, H. -M. (2008). Echo state networks for online prediction of movement data-comparing investigations. In Proceedings of the international conference on artificial neural networks. ICANN 2008. Vol. 5163 (pp. 710-719).
    • (2008) , vol.5163 , pp. 710-719
    • Hellbach, S.1    Strauss, S.2    Eggert, J.3    Komer, E.4    Gross, H.-M.5
  • 13
    • 56749166165 scopus 로고    scopus 로고
    • Robust object tracking by hierarchical association of detection responses. In Proceedings of the European conference on computer vision. ECCV 2008
    • Huang, C., Wu, B., & Nevatia, R. (2008). Robust object tracking by hierarchical association of detection responses. In Proceedings of the European conference on computer vision. ECCV 2008 (pp. 788-801).
    • (2008) , pp. 788-801
    • Huang, C.1    Wu, B.2    Nevatia, R.3
  • 15
    • 80051796612 scopus 로고    scopus 로고
    • The echo state approach to analysing and training recurrent neural networks. Technical Report GMD Report 148. German National Research Institute for Computer Science.
    • Jaeger, H. (2001). The echo state approach to analysing and training recurrent neural networks. Technical Report GMD Report 148. German National Research Institute for Computer Science.
    • (2001)
    • Jaeger, H.1
  • 16
    • 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 and Vision Computing 1996, 14(8):609-615.
    • (1996) Image and Vision Computing , vol.14 , Issue.8 , pp. 609-615
    • Johnson, N.1    Hogg, D.2
  • 18
    • 50649122769 scopus 로고    scopus 로고
    • Retrieving actions in movies. In Proceedings of the IEEE international conference on computer vision. ICCV 2007.
    • Laptev, I., & Perez, P. (2007). Retrieving actions in movies. In Proceedings of the IEEE international conference on computer vision. ICCV 2007.
    • (2007)
    • Laptev, I.1    Perez, P.2
  • 19
    • 33745834282 scopus 로고    scopus 로고
    • Recognition and segmentation of 3-d human action using HMM and multi-class adaboost. In Proceedings of the European conference on computer vision. ECCV 2006.
    • Lv, F., & Nevatia, R. (2006). Recognition and segmentation of 3-d human action using HMM and multi-class adaboost. In Proceedings of the European conference on computer vision. ECCV 2006. Vol. IV (pp. 359-372).
    • (2006) , vol.4 , pp. 359-372
    • Lv, F.1    Nevatia, R.2
  • 20
    • 24644492941 scopus 로고    scopus 로고
    • Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2005.
    • Nguyen, N., Phung, D., Venkatesh, S., & Bui, H. (2005). Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2005. Vol. 2 (pp. 955-960).
    • (2005) , vol.2 , pp. 955-960
    • Nguyen, N.1    Phung, D.2    Venkatesh, S.3    Bui, H.4
  • 21
    • 4944221356 scopus 로고    scopus 로고
    • Layered representations for learning and inferring office activity from multiple sensory channels
    • Oliver N., Garg A., Horvitz E. Layered representations for learning and inferring office activity from multiple sensory channels. Computer Vision and Image Understanding 2004, 96(2):163-180.
    • (2004) Computer Vision and Image Understanding , vol.96 , Issue.2 , pp. 163-180
    • Oliver, N.1    Garg, A.2    Horvitz, E.3
  • 22
    • 77953176858 scopus 로고    scopus 로고
    • Workflow monitoring based on 3d motion features. In Proceedings of the IEEE international conference on computer vision workshops. ICCV workshops 2009
    • Padoy, N., Mateus, D., Weinland, D., Berger, M., & Navab, N. (2009). Workflow monitoring based on 3d motion features. In Proceedings of the IEEE international conference on computer vision workshops. ICCV workshops 2009 (pp. 585-592).
    • (2009) , pp. 585-592
    • Padoy, N.1    Mateus, D.2    Weinland, D.3    Berger, M.4    Navab, N.5
  • 23
    • 77949275097 scopus 로고    scopus 로고
    • A survey on vision-based human action recognition
    • Poppe R. A survey on vision-based human action recognition. Image and Vision Computing 2010, 28(6):976-990.
    • (2010) Image and Vision Computing , vol.28 , Issue.6 , pp. 976-990
    • Poppe, R.1
  • 24
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner L.R. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 1989, 77(2):257-286.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 25
    • 54249126029 scopus 로고    scopus 로고
    • Real-time emotion recognition from speech using echo state networks. In Artificial neural networks in pattern recognition.
    • Scherer, S., Oubbati, M., Schwenker, F., & Palm, G. (2008). Real-time emotion recognition from speech using echo state networks. In Artificial neural networks in pattern recognition. Vol. 5064 (pp. 205-216).
    • (2008) , vol.5064 , pp. 205-216
    • Scherer, S.1    Oubbati, M.2    Schwenker, F.3    Palm, G.4
  • 26
    • 5044237697 scopus 로고    scopus 로고
    • Propagation networks for recognition of partially ordered sequential action. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2004.
    • Shi, Y., Huang, Y., Minnen, D., Bobick, A., & Essa, I. (2004). Propagation networks for recognition of partially ordered sequential action. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2004. Vol. 2 (pp. 862-869).
    • (2004) , vol.2 , pp. 862-869
    • Shi, Y.1    Huang, Y.2    Minnen, D.3    Bobick, A.4    Essa, I.5
  • 27
    • 34249867443 scopus 로고    scopus 로고
    • Automatic speech recognition using a predictive echo state network classifier
    • Skowronski M., Harris J. Automatic speech recognition using a predictive echo state network classifier. Neural Networks 2007, 20:414-423.
    • (2007) Neural Networks , vol.20 , pp. 414-423
    • Skowronski, M.1    Harris, J.2
  • 29
    • 79952525554 scopus 로고    scopus 로고
    • Automatic workflow monitoring in industrial environments. In Proceedings of the Asian conference on computer vision. ACCV 2010
    • Veres, G., Grabner, H., Middleton, L., & Gool, L. V. (2010). Automatic workflow monitoring in industrial environments. In Proceedings of the Asian conference on computer vision. ACCV 2010 (pp. 200-213).
    • (2010) , pp. 200-213
    • Veres, G.1    Grabner, H.2    Middleton, L.3    Gool, L.V.4
  • 31
    • 0033284442 scopus 로고    scopus 로고
    • Parallel hidden Markov models for American sign language recognition. In Proceedings of the IEEE international conference on computer vision. ICCV 1999
    • Vogler, C., & Metaxas, D. (1999). Parallel hidden Markov models for American sign language recognition. In Proceedings of the IEEE international conference on computer vision. ICCV 1999 (pp. 116-122).
    • (1999) , pp. 116-122
    • Vogler, C.1    Metaxas, D.2
  • 32
    • 78049401284 scopus 로고    scopus 로고
    • Robust workflow recognition using holistic features and outlier-tolerant fused hidden Markov models. In Proceedings of the international conference on artificial neural networks. ICANN 2010
    • Voulodimos, A., Grabner, H., Kosmopoulos, D., Van Gool, L., & Varvarigou, T. (2010). Robust workflow recognition using holistic features and outlier-tolerant fused hidden Markov models. In Proceedings of the international conference on artificial neural networks. ICANN 2010. Vol. 6352 (pp. 551-560).
    • (2010) , vol.6352 , pp. 551-560
    • Voulodimos, A.1    Grabner, H.2    Kosmopoulos, D.3    Van Gool, L.4    Varvarigou, T.5
  • 33
    • 51949084186 scopus 로고    scopus 로고
    • Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2008
    • Wang, X., Ma, K., Ng, G., & Grimson, W. (2008). Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. In Proceedings of the IEEE conference on computer vision and pattern recognition. CVPR 2008 (pp. 1-8).
    • (2008) , pp. 1-8
    • Wang, X.1    Ma, K.2    Ng, G.3    Grimson, W.4
  • 34
    • 33644522380 scopus 로고    scopus 로고
    • Beyond tracking: modelling activity and understanding behaviour
    • Xiang T., Gong S. Beyond tracking: modelling activity and understanding behaviour. International Journal of Computer Vision 2006, 67:21-51.
    • (2006) International Journal of Computer Vision , vol.67 , pp. 21-51
    • Xiang, T.1    Gong, S.2
  • 36
    • 44049099067 scopus 로고    scopus 로고
    • Audiovisual affective expression recognition through multistream fused HMM
    • Zeng Z., Tu J., Pianfetti B., Huang T. Audiovisual affective expression recognition through multistream fused HMM. IEEE Transactions on Multimedia 2008, 10(4):570-577.
    • (2008) IEEE Transactions on Multimedia , vol.10 , Issue.4 , pp. 570-577
    • Zeng, Z.1    Tu, J.2    Pianfetti, B.3    Huang, T.4


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