메뉴 건너뛰기




Volumn , Issue , 2009, Pages 476-481

Supervised neighborhood topology learning for human action recognition

Author keywords

[No Author keywords available]

Indexed keywords

ADJACENCY GRAPHS; CLASS LABELS; DATA POINTS; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; LOCAL STRUCTURE; LOCALITY PRESERVING PROJECTIONS; MANIFOLD LEARNING; MANIFOLD LEARNING ALGORITHM; NEIGHBORHOOD TOPOLOGY; RECOGNITION ACCURACY; RECOGNITION PERFORMANCE; TEMPORAL INFORMATION;

EID: 77953184373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457662     Document Type: Conference Paper
Times cited : (4)

References (20)
  • 1
    • 3543105519 scopus 로고    scopus 로고
    • A survey on visual surveillance of object motion and behaviors
    • W. Hu, T. Tan, L. Wang, and S. Maybank. A survey on visual surveillance of object motion and behaviors. SMC-C, 34(3):334-352, 2004.
    • (2004) SMC-C , vol.34 , Issue.3 , pp. 334-352
    • Hu, W.1    Tan, T.2    Wang, L.3    Maybank, S.4
  • 3
    • 0344983342 scopus 로고    scopus 로고
    • Recognizing action at a distance
    • A. Efros, A. Berg, G. Mori, and J. Malik. Recognizing action at a distance. ICCV, 2:726-733, 2003.
    • (2003) ICCV , vol.2 , pp. 726-733
    • Efros, A.1    Berg, A.2    Mori, G.3    Malik, J.4
  • 4
    • 0030689150 scopus 로고    scopus 로고
    • Learning and recognizing human dynamics in video sequences
    • C. Bregler. Learning and recognizing human dynamics in video sequences. CVPR, 1997.
    • (1997) CVPR
    • Bregler, C.1
  • 5
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local SVM approach
    • C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: a local SVM approach. ICPR, 3:32-36, 2004.
    • (2004) ICPR , vol.3 , pp. 32-36
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 6
    • 34249072476 scopus 로고    scopus 로고
    • Learning and matching of dynamic shape manifolds for human action recognition
    • L. Wang and D. Suter, Learning and matching of dynamic shape manifolds for human action recognition, IEEE Transaction on Image Processing 2007, 16(6):1646-1661.
    • (2007) IEEE Transaction on Image Processing , vol.16 , Issue.6 , pp. 1646-1661
    • Wang, L.1    Suter, D.2
  • 7
    • 8644228268 scopus 로고    scopus 로고
    • Locality preserving projections
    • X. He and P. Niyogi. Locality preserving projections. NIPS, 2003.
    • (2003) NIPS
    • He, X.1    Niyogi, P.2
  • 8
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. B. Tenenbaum, Vin de Silva, J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    Vin De Silva2    Langford, J.C.3
  • 9
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 10
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • M. Belkin and P. Niyogi. Laplacian eigenmaps and spectral techniques for embedding and clustering. NIPS, 2001.
    • (2001) NIPS
    • Belkin, M.1    Niyogi, P.2
  • 11
    • 84880899766 scopus 로고    scopus 로고
    • Locality sensitive discriminant analysis
    • D. Cai, X. He, K. Zhou, J. Han, and H. Bao. Locality sensitive discriminant analysis. IJCAI, 2007.
    • (2007) IJCAI
    • Cai, D.1    He, X.2    Zhou, K.3    Han, J.4    Bao, H.5
  • 12
    • 33749237332 scopus 로고    scopus 로고
    • Local fisher discriminant analysis for supervised dimensionality reduction
    • M Sugiyama. Local fisher discriminant analysis for supervised dimensionality reduction. ICML, 2006.
    • (2006) ICML
    • Sugiyama, M.1
  • 13
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extensions: A general framework for dimensionality reduction
    • S. Yan, D. Xu, B. Zhang, H.-J. Zhang, Q. Yang, and S. Lin. Graph embedding and extensions: A general framework for dimensionality reduction. PAMI, 29(1):40-51, 2007.
    • (2007) PAMI , vol.29 , Issue.1 , pp. 40-51
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.-J.4    Yang, Q.5    Lin, S.6
  • 14
    • 34249907869 scopus 로고    scopus 로고
    • Gabor feature-based face recognition using supervised locality preserving projection
    • Z. Zheng, F. Yang, W. Tan, J. Jia, J. Yang. Gabor feature-based face recognition using supervised locality preserving projection. Signal Processing. 87:2473-2483, 2007.
    • (2007) Signal Processing , vol.87 , pp. 2473-2483
    • Zheng, Z.1    Yang, F.2    Tan, W.3    Jia, J.4    Yang, J.5
  • 16
    • 34047148915 scopus 로고    scopus 로고
    • Nonlinear manifold learning for dynamic shape and dynamic appearance
    • A. Elgammal and C-S. Lee. Nonlinear manifold learning for dynamic shape and dynamic appearance, CVIU, 106:31-46, 2007.
    • (2007) CVIU , vol.106 , pp. 31-46
    • Elgammal, A.1    Lee, C.-S.2
  • 17
    • 14344249522 scopus 로고    scopus 로고
    • Generative modeling for continuous non-linearly embedded visual inference
    • C. Sminchisescu and A. Jepson. Generative modeling for continuous non-linearly embedded visual inference. ICML, 2004.
    • (2004) ICML
    • Sminchisescu, C.1    Jepson, A.2
  • 18
    • 51949102981 scopus 로고    scopus 로고
    • Human action recognition using local spatio-temporal discriminant embedding
    • Kui Jia and Dit-Yan Yeung. Human action recognition using local spatio-temporal discriminant embedding. CVPR, 2008.
    • (2008) CVPR
    • Jia, K.1    Yeung, D.-Y.2
  • 19
    • 77953181405 scopus 로고    scopus 로고
    • http://www.wisdom.weizmann.ac.il/~vision/SpaceTimeActions.html.
  • 20
    • 67649414995 scopus 로고    scopus 로고
    • Object motion detection using information theoretic spatio-temporal saliency
    • In Press
    • C. Liu, P.C. Yuen, G. Qiu. Object motion detection using information theoretic spatio-temporal saliency. Pattern Recognition, In Press, 2009.
    • (2009) Pattern Recognition
    • Liu, C.1    Yuen, P.C.2    Qiu, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.