Multiscale Spatial Position Coding under Locality Constraint for Action Recognition

논문상세정보
' Multiscale Spatial Position Coding under Locality Constraint for Action Recognition' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • action recognition
  • action representation
  • multiscale spatial position coding under locality constraint
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
30 0

0.0%

' Multiscale Spatial Position Coding under Locality Constraint for Action Recognition' 의 참고문헌

  • http://spams-devel.gforge.inria.fr/
  • Tensor-based projection using ridge regression and its application to action classification
    X. Wu IET Image Processing 4 (6) : 486 ~ 493 [2010]
  • Statistics of natural action structures and human action recognition
    X. Zhu Journal of Vision 12 (9) : 834 ~ 834 [2012]
  • Sparse coding on local spatialtemporal volumes for human action recognition
    Y. Zhu Proceedings of the Computer Vision : 660 ~ 671 [2010]
  • Silhouette-based human action recognition using sequences of key poses
    A. A. Chaaraoui Pattern Recognition Letters 34 (15) : 1799 ~ 1807 [2013]
  • Selective spatio-temporal interest points
    B. Chakraborty Computer Vision and Image Understanding 116 (3) : 396 ~ 410 [2012]
  • Robust face recognition via sparse representation
    J. Wright IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2) : 210 ~ 227 [2009]
  • Random projection of smooth manifold
    R. baraniuk foundation of computational mathmaematics 9 : 51 ~ 77 [2009]
  • Nonlinear learning using local coordinate coding
    K. Yu in Advances in Neural Information Processing Systems 22 : 2223 ~ 2231 [2009]
  • Nonlinear dimensionality reduction by locally linear embedding
    S. T. Roweis Science 290 (5500) : 2323 ~ 2326 [2000]
  • Modeling motion of body parts for action recognition
    K. N. Tran Proceedings of the British Machine Vision Conference : 1 ~ 12 [2011]
  • Localityconstrained group sparse representation for robust face recognition
    Y. W. Chao Proceeding sof the IEEE International Conference on ImageProcessing (ICIP) : 761 ~ 764 [2011]
  • Locality-sensitive dictionary learning for sparse representation based classification
    C. P. Wei Pattern Recognition 46 (5) : 1277 ~ 1287 [2013]
  • Locality-constrained linear coding for image classification
    J. Wang Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 3360 ~ 3367 [2010]
  • Linear spatial pyramid matching using sparse coding for image classification
    J. Yang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition [2009]
  • Learning sparse representations for human action recognition
    T. Guha IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (8) : 1576 ~ 1588 [2012]
  • Learning realistic human actions from movies
    I. Laptev Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition : 1 ~ 8 [2008]
  • LOF:identifying density-based local outliers
    Kriegel, H.-P. Ng, R. T. Sander, J. Breunig, M. M. Proceeding software 2000 ACM SIGMOD International Conference on Management of Data [2000]
  • LF-EME : local features with elastic manifold embedding for human action recognition
    X. Deng Neurocomputing 99 (1) : 144 ~ 153 [2013]
  • Human typical action recognition using gray scale image of silhouette sequence
    B. Huang Computers and Electrical Engineering 38 (5) : 1177 ~ 1185 [2012]
  • Human gait recognition using patch distribution feature and localityconstrained group sparse representation
    D. Xu IEEE Transactions on Image Processing 21 (1) : 316 ~ 326 [2012]
  • Human action segmentation and recognition via motion and shape analysis
    L. Shao Pattern Recognition Letters 33 (4) : 438 ~ 445 [2012]
  • Human action recognition using pose-based discriminant embedding
    B. Saghafi Signal Processing 27 (1) : 96 ~ 111 [2012]
  • Human action recognition employing negative space features
    S. A. Rahman Journal of Visual Communication and Image Representation 24 (3) : 217 ~ 231 [2013]
  • Human action recognition based on skeleton splitting
    S. M. Yoon Expert Systems with Applications 40 (17) : 6848 ~ 6855 [2013]
  • Greed is good : algorithmic results for sparse approximation
    J. A. Tropp IEEE Transactions on Information Theory 50 : 2231 ~ 2242 [2004]
  • Graph regularized sparse coding for image representation
    M. Zheng IEEE Transactionson Image Processing 20 : 1327 ~ 1336 [2011]
  • Fusing appearance and distribution information of interest points for action recognition
    M. Bregonzio Pattern Recognition 45 (3) : 1220 ~ 1234 [2012]
  • Flexible X-Y patches for face recognition
    M. Liu Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing : 2113 ~ 2116 [2008]
  • Emergence of simplecell receptive field properties by learning a sparse code for natural images
    B. A. Olshausen Nature 381 (6583) : 607 ~ 609 [1996]
  • Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
    A. Elgammal IEEE Transactions on Pattern Analysis and Machine Intelligence 25 : 1499 ~ 1504 [2003]
  • Efficient Action Spotting based on a Spacetime Oriented Structure Representation
    K. G. Derpanis Proceedings of the IEEE Conference Computer Vision and Pattern Recognition [2010]
  • Beyond Bags of Features : Spatial Pyramid Matching for Recognizing Natural Scene Categories
    S. Lazebnik Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 2169 ~ 2178 [2006]
  • Behavior recognition via sparse spatio-temporal features
    P. Dollar Proceedings of the 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance : 65 ~ 72 [2005]
  • An efficient dense and scaleinvariant spatio-temporal interest point detector
    G. Willems Proceedings of the Europen Conference on Computer Vision : 650 ~ 663 [2008]
  • Aglobal geometric framework for nonlinear dimensionality reduction
    J. Tenenbaum Science 290 : 2319 ~ 2323 [2000]
  • Advances in Neural Information Processing Systems
    H. Lee MIT Press : 801 ~ 808 [2007]
  • Action recognition via bioinspired features : the richness of center-surround interaction
    M. J. Escobar Computer Vision and Image Under standing 116 (5) : 593 ~ 605 [2012]
  • Action recognition using context constrained linear coding
    Z. Zhang Signal Processing Letters 19 (7) : 439 ~ 442 [2012]
  • Action recognition using context and appearance distribution features
    X. Wu Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition : 489 ~ 496 [2011]
  • A spatio-temporal descriptor based on 3d gradients
    A. Klaser Proceedings of the British Machine Vision Conference [2008]
  • A 3-dimensional sift descriptor and its application to action recognition
    P. Scovanner Proceedings of the 15th ACM International Conference on Multimedia : 357 ~ 360 [2007]