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Volumn , Issue , 2008, Pages

Action Snippets: How many frames does human action recognition require?

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; GESTURE RECOGNITION; IMAGE PROCESSING; IMAGING TECHNIQUES; PATTERN RECOGNITION; PHOTOGRAPHY; STANDARDS; VIDEO RECORDING;

EID: 51949101597     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587730     Document Type: Conference Paper
Times cited : (502)

References (28)
  • 1
    • 50649103522 scopus 로고    scopus 로고
    • Chaotic invariants for human action recognition
    • S. Ali, A. Basharat, and M. Shah. Chaotic invariants for human action recognition. In Proc ICCV, 2007.
    • (2007) Proc ICCV
    • Ali, S.1    Basharat, A.2    Shah, M.3
  • 2
    • 0037117455 scopus 로고    scopus 로고
    • Perception of biological motion without local image motion
    • J. A. Beintema and M. Lappe. Perception of biological motion without local image motion. P Natl Acad Sci USA, 99:5661-5663, 2002.
    • (2002) P Natl Acad Sci USA , vol.99 , pp. 5661-5663
    • Beintema, J.A.1    Lappe, M.2
  • 5
    • 27244457356 scopus 로고    scopus 로고
    • Critical features for the recognition of biological motion
    • A. Casile and M. A. Giese. Critical features for the recognition of biological motion. J Vision, 5:348-360, 2005.
    • (2005) J Vision , vol.5 , pp. 348-360
    • Casile, A.1    Giese, M.A.2
  • 7
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc ICCV, pages 886-893, 2005.
    • (2005) Proc ICCV , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 8
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T. G. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. J Artif Intell Res, 2:263-286, 1995.
    • (1995) J Artif Intell Res , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 12
    • 0025718412 scopus 로고
    • Distributed hierarchical processing in the primate visual cortex
    • D. J. Felleman and D. C. van Essen. Distributed hierarchical processing in the primate visual cortex. Cereb Cortex, 1:1-47, 1991.
    • (1991) Cereb Cortex , vol.1 , pp. 1-47
    • Felleman, D.J.1    van Essen, D.C.2
  • 13
    • 0023492118 scopus 로고
    • Relations between the statistics of natural images and the response properties of cortical cells
    • D. J. Field. Relations between the statistics of natural images and the response properties of cortical cells. J Opt Soc Am A, 4(12):2379-2394, 1987.
    • (1987) J Opt Soc Am A , vol.4 , Issue.12 , pp. 2379-2394
    • Field, D.J.1
  • 14
    • 0019152630 scopus 로고
    • Neocognitron: A self-organizing neural network model for mechanisms of pattern recognition unaffected by shift in position
    • K. Fukushima. Neocognitron: a self-organizing neural network model for mechanisms of pattern recognition unaffected by shift in position. Biol Cybern, 36:193-202, 1980.
    • (1980) Biol Cybern , vol.36 , pp. 193-202
    • Fukushima, K.1
  • 15
    • 18144415492 scopus 로고    scopus 로고
    • Physiologically inspired neural model for the encoding of face spaces
    • M. A. Giese and D. A. Leopold. Physiologically inspired neural model for the encoding of face spaces. Neurocomputing, 65-66:93-101, 2005.
    • (2005) Neurocomputing , vol.65-66 , pp. 93-101
    • Giese, M.A.1    Leopold, D.A.2
  • 16
    • 0037364522 scopus 로고    scopus 로고
    • Neural mechanisms for the recognition of biological movements
    • M. A. Giese and T. Poggio. Neural mechanisms for the recognition of biological movements. Nat Neurosci, 4:179-192, 2003.
    • (2003) Nat Neurosci , vol.4 , pp. 179-192
    • Giese, M.A.1    Poggio, T.2
  • 17
    • 50649099025 scopus 로고    scopus 로고
    • A biologically inspired system for action recognition
    • H. Jhuang, T. Serre, L. Wolf, and T. Poggio. A biologically inspired system for action recognition. In Proc ICCV, 2007.
    • (2007) Proc ICCV
    • Jhuang, H.1    Serre, T.2    Wolf, L.3    Poggio, T.4
  • 18
    • 10044263761 scopus 로고    scopus 로고
    • Local descriptors for spatio-temporal recognition
    • I. Laptev and T. Lindeberg. Local descriptors for spatio-temporal recognition. In Proc ICCV, 2003.
    • (2003) Proc ICCV
    • Laptev, I.1    Lindeberg, T.2
  • 19
    • 34948829111 scopus 로고    scopus 로고
    • A hierarchical model of shape and appearance for human action classification
    • J. C. Niebles and L. Fei-Fei. A hierarchical model of shape and appearance for human action classification. In Proc CVPR, 2007.
    • (2007) Proc CVPR
    • Niebles, J.C.1    Fei-Fei, L.2
  • 20
    • 84898026340 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatio-temporal words
    • J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatio-temporal words. In Proc BMVC, 2006.
    • (2006) Proc BMVC
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 21
    • 0032095724 scopus 로고    scopus 로고
    • Support vector machines for 3d object recognition
    • M. Pontil and A. Verri. Support vector machines for 3d object recognition. IEEE T Pattern Anal, 20(6):637-646, 1998.
    • (1998) IEEE T Pattern Anal , vol.20 , Issue.6 , pp. 637-646
    • Pontil, M.1    Verri, A.2
  • 22
    • 0036844204 scopus 로고    scopus 로고
    • View-invariant representation and recognition of actions
    • C. Rao, A. Yilmaz, and M. Shah. View-invariant representation and recognition of actions. Int J Comput Vision, 50(2):203-226, 2002.
    • (2002) Int J Comput Vision , vol.50 , Issue.2 , pp. 203-226
    • Rao, C.1    Yilmaz, A.2    Shah, M.3
  • 23
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • M. Riesenhuber and T. Poggio. Hierarchical models of object recognition in cortex. Nat Neurosci, 2:1019-1025, 1999.
    • (1999) Nat Neurosci , vol.2 , pp. 1019-1025
    • Riesenhuber, M.1    Poggio, T.2
  • 24
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local SVM approach
    • C. Schüldt, I. Laptev, and B. Caputo. Recognizing human actions: a local SVM approach. In Proc ICPR, 2004.
    • (2004) Proc ICPR
    • Schüldt, C.1    Laptev, I.2    Caputo, B.3
  • 26
    • 24644511277 scopus 로고    scopus 로고
    • Object recognition with features inspired by visual cortex
    • T. Serre, L. Wolf, and T. Poggio. Object recognition with features inspired by visual cortex. In Proc CVPR, 2005.
    • (2005) Proc CVPR
    • Serre, T.1    Wolf, L.2    Poggio, T.3
  • 27
    • 34948844544 scopus 로고    scopus 로고
    • Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model
    • L. Wang and D. Suter. Recognizing human activities from silhouettes: motion subspace and factorial discriminative graphical model. In Proc CVPR, 2007.
    • (2007) Proc CVPR
    • Wang, L.1    Suter, D.2
  • 28
    • 0033079099 scopus 로고    scopus 로고
    • Parameterized modeling and recognition of activities
    • Y. Yacoob and M. J. Black. Parameterized modeling and recognition of activities. Comput Vis Image Und, 72(2):232-247, 1999.
    • (1999) Comput Vis Image Und , vol.72 , Issue.2 , pp. 232-247
    • Yacoob, Y.1    Black, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.