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Volumn , Issue , 2012, Pages 1330-1337

Substructure and boundary modeling for continuous action recognition

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BOUNDARY MODELS; DATA SETS; GRAPHICAL STRUCTURES; NOVEL COMPONENT; PROBABILISTIC GRAPHICAL MODELS; SPATIAL TEMPORALS; STATE-SPACE MODELS; TRANSITION BOUNDARIES; TRANSITION MODEL; TWO-COMPONENT;

EID: 84866665180     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247818     Document Type: Conference Paper
Times cited : (40)

References (40)
  • 1
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking
    • 5
    • M. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. on Signal Processing, 50(2):174-188, 2002. 5
    • (2002) IEEE Trans. on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 2
    • 1142309175 scopus 로고
    • Continuous speech word recognition via centisecond acoustic states
    • unpublished paper presented at the, 3
    • R. Bakis. Continuous speech word recognition via centisecond acoustic states. unpublished paper presented at the meeting of the Acoustics Society of America, 1976. 3
    • (1976) Meeting of the Acoustics Society of America
    • Bakis, R.1
  • 3
    • 33845270980 scopus 로고    scopus 로고
    • Expectation correction for smoothed inference in switching linear dynamical systems
    • 5
    • D. Barber. Expectation correction for smoothed inference in switching linear dynamical systems. Journal of Machine Learning Research, pages 2515-2540, 2006. 5
    • (2006) Journal of Machine Learning Research , pp. 2515-2540
    • Barber, D.1
  • 4
    • 48149105281 scopus 로고    scopus 로고
    • Sparseness achievement in hidden Markov models
    • 3
    • M. Bicego, M. Cristani, and V. Murino. Sparseness achievement in hidden Markov models. Proc.of ICIAP'07, pages 67-72, 2007. 3
    • (2007) Proc.Of ICIAP'07 , pp. 67-72
    • Bicego, M.1    Cristani, M.2    Murino, V.3
  • 6
    • 84896803349 scopus 로고    scopus 로고
    • Non-Markovian regime switching with endogenous states and time-varying state strengths
    • Econometric Society, 2
    • S. Chib and M. J. Dueker. Non-Markovian regime switching with endogenous states and time-varying state strengths. Econometric Society 2004 North American Summer Meetings 600, Econometric Society, 2004. 2
    • (2004) Econometric Society 2004 North American Summer Meetings 600
    • Chib, S.1    Dueker, M.J.2
  • 7
  • 9
    • 0002585974 scopus 로고
    • Variable duration models for speech
    • Institute for Defense Analyses, Princeton, NJ, 2
    • J. Ferguson. Variable duration models for speech. Symp. Application of Hidden Markov Models to Text and Speech, Institute for Defense Analyses, Princeton, NJ, pages 143-179, 1980. 2
    • (1980) Symp. Application of Hidden Markov Models to Text and Speech , pp. 143-179
    • Ferguson, J.1
  • 10
    • 84858766922 scopus 로고    scopus 로고
    • Nonparametric Bayesian learning of switching linear dynamical systems
    • 1
    • E. Fox, E. Sudderth, M. Jordan, and A. Willsky. Nonparametric Bayesian learning of switching linear dynamical systems. Proc. of NIPS'09, 2009. 1
    • (2009) Proc. of NIPS'09
    • Fox, E.1    Sudderth, E.2    Jordan, M.3    Willsky, A.4
  • 13
    • 80052873938 scopus 로고    scopus 로고
    • Joint segmentation and classification of human action in video
    • 1, 2
    • M. Hoai, Z. Lan, and F. Torre. Joint segmentation and classification of human action in video. Proc. of CVPR'11, 2011. 1, 2
    • (2011) Proc. of CVPR'11
    • Hoai, M.1    Lan, Z.2    Torre, F.3
  • 14
    • 70449488022 scopus 로고    scopus 로고
    • Switching hidden Markov models for learning of motion patterns in videos
    • 1, 3
    • M. Hoffken, D. Oberhoff, and M. Kolesnik. Switching hidden Markov models for learning of motion patterns in videos. Proc. of ICANN'09, pages 757-766, 2009. 1, 3
    • (2009) Proc. of ICANN'09 , pp. 757-766
    • Hoffken, M.1    Oberhoff, D.2    Kolesnik, M.3
  • 17
    • 77950552341 scopus 로고    scopus 로고
    • Simultaneous visual recognition of manipulation actions and manipulated objects
    • 1, 2
    • H. Kjellstrom, J. Romero, D. Martinez, and D. Kragic. Simultaneous visual recognition of manipulation actions and manipulated objects. Proc. of ECCV'08, 2008. 1, 2
    • (2008) Proc. of ECCV'08
    • Kjellstrom, H.1    Romero, J.2    Martinez, D.3    Kragic, D.4
  • 18
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • 1, 4, 6
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: probabilistic models for segmenting and labeling sequence data. Proc. of ICML'01, 2001. 1, 4, 6
    • (2001) Proc. of ICML'01
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 19
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • 6
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories.Proc. of CVPR'06, 2006. 6
    • (2006) Proc. of CVPR'06
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 20
    • 0006236307 scopus 로고    scopus 로고
    • Inference in hybrid networks: Theoretical limits and practical algorithms
    • 2
    • U. Lerner and R. Parr. Inference in hybrid networks: theoretical limits and practical algorithms. In In UAI, pages 310-318, 2001. 2
    • (2001) UAI , pp. 310-318
    • Lerner, U.1    Parr, R.2
  • 21
    • 0022685753 scopus 로고
    • Continuously variable duration hidden Markov models for automatic speech recognition
    • 4
    • S. Levinson. Continuously variable duration hidden Markov models for automatic speech recognition. Comput. Speech Lang., pages 29-45, 1986. 4
    • (1986) Comput. Speech Lang. , pp. 29-45
    • Levinson, S.1
  • 23
    • 47249092172 scopus 로고    scopus 로고
    • Bayesian estimates of free energies from nonequilibrium work data in the presence of instrument noise
    • 6
    • P. Maragakis, F. Ritort, C. Bustamante, M. Karplus, and G. E. Crooks. Bayesian estimates of free energies from nonequilibrium work data in the presence of instrument noise. Journal of Chemical Physics,129, 2008. 6
    • (2008) Journal of Chemical Physics , vol.129
    • Maragakis, P.1    Ritort, F.2    Bustamante, C.3    Karplus, M.4    Crooks, G.E.5
  • 24
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy Markov models for information extraction and segmentation
    • 1, 4
    • A. McCallum, D. Freitag, and F. Pereira. Maximum entropy Markov models for information extraction and segmentation. Proc. of ICML' 00, pages 591-598, 2000. 1, 4
    • (2000) Proc. of ICML'00 , pp. 591-598
    • McCallum, A.1    Freitag, D.2    Pereira, F.3
  • 25
    • 34948881770 scopus 로고    scopus 로고
    • Latent-dynamic discriminative models for continuous gesture recognition
    • 2, 6
    • L. Morency, A. Quattoni, and T. Darrell. Latent-dynamic discriminative models for continuous gesture recognition. Proc. of CVPR'07, 2007. 2, 6
    • (2007) Proc. of CVPR'07
    • Morency, L.1    Quattoni, A.2    Darrell, T.3
  • 26
    • 69549085386 scopus 로고    scopus 로고
    • Latent pose estimator for continuous action recognition
    • 1, 2
    • H. Ning, W. Xu, Y. Gong, and T. Huan. Latent pose estimator for continuous action recognition. Proc. of ECCV'08, 2008. 1, 2
    • (2008) Proc. of ECCV'08
    • Ning, H.1    Xu, W.2    Gong, Y.3    Huan, T.4
  • 27
    • 33745884405 scopus 로고    scopus 로고
    • Learning and inference in parametric switching linear dynamic systems
    • 1, 2, 6
    • S. Oh, J. Rehg, T. Balch, and F. Dellaert. Learning and inference in parametric switching linear dynamic systems. Proc. of ICCV'05,2005. 1, 2, 6
    • (2005) Proc. of ICCV'05
    • Oh, S.1    Rehg, J.2    Balch, T.3    Dellaert, F.4
  • 28
    • 84866648532 scopus 로고    scopus 로고
    • Parameterized duration modeling for switching linear dynamic systems
    • 2, 7
    • S. M. Oh, J. M. Rehg, and F. Dellaert. Parameterized duration modeling for switching linear dynamic systems. Proc. of CVPR'06, pages 1-8, 2006. 2, 7
    • (2006) Proc. of CVPR'06 , pp. 1-8
    • Oh, S.M.1    Rehg, J.M.2    Dellaert, F.3
  • 29
    • 52249102023 scopus 로고    scopus 로고
    • Sequential sparsificarion for change detection
    • 6
    • N. Ozay, M. Sznaier, and C. O. Sequential sparsificarion for change detection. Proc. of CVPR'08, 2008. 6
    • (2008) Proc. of CVPR'08
    • Ozay, N.1    Sznaier, M.2    O, C.3
  • 30
    • 77956002208 scopus 로고    scopus 로고
    • Spike train driven dynamical models for human actions
    • 6
    • M. Raptis, K. Wnuk, and S. Soatto. Spike train driven dynamical models for human actions. Proc. of CVPR'10, pages 2077-2084, 2010. 6
    • (2010) Proc. of CVPR'10 , pp. 2077-2084
    • Raptis, M.1    Wnuk, K.2    Soatto, S.3
  • 31
    • 80052871195 scopus 로고    scopus 로고
    • Modeling the temporal extent of actions
    • 1
    • S. Satkin and M. Hebert. Modeling the temporal extent of actions. Proc. of ECCV'10, 2010. 1
    • (2010) Proc. of ECCV'10
    • Satkin, S.1    Hebert, M.2
  • 34
    • 77955996870 scopus 로고    scopus 로고
    • Locality-constrained linear coding for image classification
    • 6
    • J. Wang, J. Yang, F. Lv, and K. Yu. Locality-constrained linear coding for image classification. Proc. of CVPR'10, 2010. 6
    • (2010) Proc. of CVPR'10
    • Wang, J.1    Yang, J.2    Lv, F.3    Yu, K.4
  • 35
    • 70349203834 scopus 로고    scopus 로고
    • Event recognition with time varying hidden Markov model
    • 4
    • Z.Wang, E. Kuruoglu, X. Yang, Y. Xu, and S. Yu. Event recognition with time varying hidden Markov model. Proc.of ICASSP'09, pages 1761-1764, 2009. 4
    • (2009) Proc.Of ICASSP'09 , pp. 1761-1764
    • Wang, Z.1    Kuruoglu, E.2    Yang, X.3    Xu, Y.4    Yu, S.5
  • 39
    • 74149089478 scopus 로고    scopus 로고
    • Hidden semi-Markov models
    • 2, 4
    • S.-Z. Yu. Hidden semi-Markov models. Artificial Intelligence, pages 215-243, 2010. 2, 4
    • (2010) Artificial Intelligence , pp. 215-243
    • Yu, S.-Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.