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Volumn 30, Issue 9, 2014, Pages 1021-1033

Online robust action recognition based on a hierarchical model

Author keywords

Bottom up approach; Hierarchical model; Robust online action recognition

Indexed keywords

HIERARCHICAL SYSTEMS; IMAGE RECOGNITION; MUSCULOSKELETAL SYSTEM;

EID: 84906948168     PISSN: 01782789     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00371-014-0923-8     Document Type: Article
Times cited : (27)

References (16)
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    • Wang, J.1    Liu, Z.2    Wu, Y.3    Yuan, J.4
  • 3
    • 24944451092 scopus 로고    scopus 로고
    • On space-time interest points
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    • Laptev, I.1
  • 9
    • 34548748137 scopus 로고    scopus 로고
    • Space-time behavior based correlation -or- how to tell if two underlying motion fields are similar without computing them?
    • 10.1109/TPAMI.2007.1119
    • Shechtman, E., Irani, M.: Space-time behavior based correlation -or- how to tell if two underlying motion fields are similar without computing them? IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 29(11), 2045-2056 (2007)
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) , vol.29 , Issue.11 , pp. 2045-2056
    • Shechtman, E.1    Irani, M.2
  • 10
    • 51949109604 scopus 로고    scopus 로고
    • Action recognition by learning mid-level motion features
    • Fathi, A., Mori, G.: Action recognition by learning mid-level motion features. In: CVPR (2008)
    • (2008) CVPR
    • Fathi, A.1    Mori, G.2
  • 12
    • 84884910745 scopus 로고    scopus 로고
    • Exploring the trade-off between accuracy and observational latency in action recognition
    • 10.1007/s11263-012-0550-7
    • Ellis, C., Masood, S.Z., Tappen, M.F., Laviola Jr, J.J., Sukthankar, R.: Exploring the trade-off between accuracy and observational latency in action recognition. Int. J. Comput. Vis. 101(3), 420-436 (Feb. 2013)
    • (2013) Int. J. Comput. Vis. , vol.101 , Issue.3 , pp. 420-436
    • Ellis, C.1    Masood, S.Z.2    Tappen, M.F.3    Laviola, Jr.J.J.4    Sukthankar, R.5
  • 13
    • 84862069071 scopus 로고    scopus 로고
    • Instructing people for training gestural interactive systems
    • Konstan, J.A., Chi, E.H., Höök, K. (eds.)
    • Fothergill, S., Mentis, H.M., Kohli, P., Nowozin, S.: Instructing people for training gestural interactive systems. In: Konstan, J.A., Chi, E.H., Höök, K. (eds.) ACM, pp. 1737-1746 (2012)
    • (2012) ACM , pp. 1737-1746
    • Fothergill, S.1    Mentis, H.M.2    Kohli, P.3    Nowozin, S.4
  • 16
    • 84873183480 scopus 로고    scopus 로고
    • A conditional random field-based model for joint sequence segmentation and classification
    • 10.1016/j.patcog.2012.11.028 1264.68126
    • Chatzis, S.P., Kosmopoulos, D.I., Doliotis, P.: A conditional random field-based model for joint sequence segmentation and classification. Pattern Recognit. 46(6), 1569-1578 (2013)
    • (2013) Pattern Recognit. , vol.46 , Issue.6 , pp. 1569-1578
    • Chatzis, S.P.1    Kosmopoulos, D.I.2    Doliotis, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.