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Volumn 6388 LNCS, Issue , 2010, Pages 294-305

Action recognition in video by sparse representation on covariance manifolds of silhouette tunnels

Author keywords

action recognition; covariance manifold; silhouette tunnel; sparse linear representation; video analysis

Indexed keywords

ACTION RECOGNITION; COVARIANCE MANIFOLD; LINEAR REPRESENTATION; SILHOUETTE TUNNEL; VIDEO ANALYSIS; CLASSIFICATION RATES; LINEAR COMBINATIONS; RIEMANNIAN MANIFOLD; SPARSE REPRESENTATION;

EID: 78650809449     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17711-8_30     Document Type: Conference Paper
Times cited : (22)

References (14)
  • 1
    • 73849126715 scopus 로고    scopus 로고
    • Human action recognition in videos using kinematic features and multiple instance learning
    • Ali, S., Shah, M.: Human action recognition in videos using kinematic features and multiple instance learning. IEEE Trans. Pattern Anal. Machine Intell. 32(2), 288-303 (2010)
    • (2010) IEEE Trans. Pattern Anal. Machine Intell. , vol.32 , Issue.2 , pp. 288-303
    • Ali, S.1    Shah, M.2
  • 2
    • 33746724078 scopus 로고    scopus 로고
    • Log-Euclidean metrics for fast and simple calculus on diffusion tensors
    • DOI 10.1002/mrm.20965
    • Arsigny, V., Pennec, P., Ayache, X.: Log-euclidean metrics for fast and simple calculus on diffusion tensors. Magnetic resonance in medicine 56(2), 411-421 (2006) (Pubitemid 44162789)
    • (2006) Magnetic Resonance in Medicine , vol.56 , Issue.2 , pp. 411-421
    • Arsigny, V.1    Fillard, P.2    Pennec, X.3    Ayache, N.4
  • 5
    • 33646365077 scopus 로고    scopus 로고
    • For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution
    • Donoho, D.L.: For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution. Comm. Pure Appl. Math. 59, 797-829 (2004)
    • (2004) Comm. Pure Appl. Math. , vol.59 , pp. 797-829
    • Donoho, D.L.1
  • 9
    • 45049084813 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • March
    • Niebles, J., Wang, H., Fei-Fei, L.: Unsupervised learning of human action categories using spatial-temporal words. In: Intern. J. Comput. Vis. (March 2008)
    • (2008) Intern. J. Comput. Vis.
    • Niebles, J.1    Wang, H.2    Fei-Fei, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.