메뉴 건너뛰기




Volumn , Issue , 2011, Pages 111-116

Capturing the relative distribution of features for action recognition

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; DATA SETS; FEATURE POINT; OUTLIER REJECTION; RANDOM SAMPLING; RELATIVE MOTION; SPATIO-TEMPORAL ACTIVITIES; SPATIOTEMPORAL DISTRIBUTIONS;

EID: 79958722708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771382     Document Type: Conference Paper
Times cited : (20)

References (27)
  • 2
    • 0019574599 scopus 로고
    • Ransac: A paradigm for model fitting with applications to image analysis and automated cartography
    • M. A. Fischler and R. C. Bolles, "Ransac: A paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, vol. 24, no. 6, 1981.
    • (1981) Communications of the ACM , vol.24 , Issue.6
    • Fischler, M.A.1    Bolles, R.C.2
  • 3
    • 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," in ICPR, 2004.
    • (2004) ICPR
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 4
    • 45049084813 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • J. Niebles, H. Wang, and L. Fei-Fei, "Unsupervised learning of human action categories using spatial-temporal words," IJCV, vol. 79, no. 3, pp. 299-318, 2008.
    • (2008) IJCV , vol.79 , Issue.3 , pp. 299-318
    • Niebles, J.1    Wang, H.2    Fei-Fei, L.3
  • 5
    • 33846622081 scopus 로고    scopus 로고
    • Behavior recognition via sparse spatio-temporal features
    • P. Dolĺar, V. Rabaud, G. Cottrell, and S. Belongie, "Behavior recognition via sparse spatio-temporal features," in VS-PETS, 2005.
    • (2005) VS-PETS
    • Dolĺar, P.1    Rabaud, V.2    Cottrell, G.3    Belongie, S.4
  • 7
    • 70450203660 scopus 로고    scopus 로고
    • Recognizing realistic actions from videos the wild"
    • J. Liu, J. Luo, and M. Shah, "Recognizing realistic actions from videos "in the wild"," in CVPR, 2009.
    • (2009) CVPR
    • Liu, J.1    Luo, J.2    Shah, M.3
  • 8
    • 77953210669 scopus 로고    scopus 로고
    • Fast realistic multi-action recognition using mined dense spatio-temporal features
    • A. Gilbert, J. Illingworth, and R. Bowden, "Fast realistic multi-action recognition using mined dense spatio-temporal features," in ICCV, 2009.
    • (2009) ICCV
    • Gilbert, A.1    Illingworth, J.2    Bowden, R.3
  • 9
    • 0344551869 scopus 로고    scopus 로고
    • Space-time interest points
    • I. Laptev and T. Lindeberg, "Space-time interest points," in ICCV, 2003.
    • (2003) ICCV
    • Laptev, I.1    Lindeberg, T.2
  • 10
    • 77951269299 scopus 로고    scopus 로고
    • An efficient dense and scale-invariant spatio-temporal interest point detector
    • G. Willems, T. Tuytelaars, and L. J. Van Gool, "An efficient dense and scale-invariant spatio-temporal interest point detector," in ECCV, 2008.
    • (2008) ECCV
    • Willems, G.1    Tuytelaars, T.2    Van Gool, L.J.3
  • 11
    • 37849037402 scopus 로고    scopus 로고
    • A 3-dimensional sift descriptor and its application to action recognition
    • P. Scovanner, S. Ali, and M. Shah, "A 3-dimensional sift descriptor and its application to action recognition," in Proc. Intl. Conf. on Multimedia, 2007, pp. 357-360.
    • (2007) Proc. Intl. Conf. on Multimedia , pp. 357-360
    • Scovanner, P.1    Ali, S.2    Shah, M.3
  • 12
    • 84898426452 scopus 로고    scopus 로고
    • A spatio-temporal descriptor based on 3d-gradients
    • A. Kl̈aser, M. Marszałek, and C. Schmid, "A spatio-temporal descriptor based on 3d-gradients," in BMVC, 2008.
    • (2008) BMVC
    • Kl̈aser, A.1    Marszałek, M.2    Schmid, C.3
  • 13
    • 50649122769 scopus 로고    scopus 로고
    • Retrieving actions in movies
    • I. Laptev and P. Perez, "Retrieving actions in movies," in ICCV, 2007.
    • (2007) ICCV
    • Laptev, I.1    Perez, P.2
  • 15
    • 77953187842 scopus 로고    scopus 로고
    • Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities
    • M. Ryoo and J. Aggarwal, "Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities," in ICCV, 2009.
    • (2009) ICCV
    • Ryoo, M.1    Aggarwal, J.2
  • 16
    • 79958738498 scopus 로고    scopus 로고
    • Representing pairwise spatial and temporal relations for action recognition
    • P. Matikainen, M. Herbert, and R. Sukthankar, "Representing pairwise spatial and temporal relations for action recognition," in ECCV, 2010.
    • (2010) ECCV
    • Matikainen, P.1    Herbert, M.2    Sukthankar, R.3
  • 17
    • 77955993558 scopus 로고    scopus 로고
    • Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
    • A. Kovashka and K. Grauman, "Learning a hierarchy of discriminative space-time neighborhood features for human action recognition," in CVPR, 2010.
    • (2010) CVPR
    • Kovashka, A.1    Grauman, K.2
  • 18
    • 50949105230 scopus 로고    scopus 로고
    • Spatial-temporal correlatons for unsupervised action classification
    • S. Savarese, A. DelPozo, J. Niebles, and L. Fei-Fei, "Spatial- temporal correlatons for unsupervised action classification," in WMVC, 2008.
    • (2008) WMVC
    • Savarese, S.1    Delpozo, A.2    Niebles, J.3    Fei-Fei, L.4
  • 19
    • 34948862825 scopus 로고    scopus 로고
    • Fast keypoint recognition in ten lines of code
    • M. Ozuysal, P. Fua, and V. Lepetit, "Fast keypoint recognition in ten lines of code," in CVPR, 2007.
    • (2007) CVPR
    • Ozuysal, M.1    Fua, P.2    Lepetit, V.3
  • 20
    • 77953182943 scopus 로고    scopus 로고
    • Activity recognition using the velocity histories of tracked keypoints
    • R. Messing, C. Pal, and H. Kautz, "Activity recognition using the velocity histories of tracked keypoints," in ICCV, 2009.
    • (2009) ICCV
    • Messing, R.1    Pal, C.2    Kautz, H.3
  • 21
    • 51949084792 scopus 로고    scopus 로고
    • Action mach: A spatiotemporal maximum average correlation height filter for action recognition
    • M. Rodriguez, J. Ahmed, and M. Shah, "Action mach: A spatiotemporal maximum average correlation height filter for action recognition," in CVPR, 2008.
    • (2008) CVPR
    • Rodriguez, M.1    Ahmed, J.2    Shah, M.3
  • 22
    • 79955686148 scopus 로고    scopus 로고
    • Action recognition using mined hierarchical compound features
    • PrePrints
    • A. Gilbert, J. Illingworth, and R. Bowden, "Action recognition using mined hierarchical compound features," PAMI, vol. 99, no. PrePrints, 2010.
    • (2010) PAMI , vol.99
    • Gilbert, A.1    Illingworth, J.2    Bowden, R.3
  • 23
    • 51949109604 scopus 로고    scopus 로고
    • Action recognition by learning mid-level motion features
    • A. Fathi and G. Mori, "Action recognition by learning mid-level motion features," in CVPR, 2008.
    • (2008) CVPR
    • Fathi, A.1    Mori, G.2
  • 24
    • 77953205594 scopus 로고    scopus 로고
    • Local trinary patterns for human action recognition
    • L. Yaffet and L. Wolf, "Local trinary patterns for human action recognition," in ICCV, 2009.
    • (2009) ICCV
    • Yaffet, L.1    Wolf, L.2
  • 25
    • 79958707658 scopus 로고    scopus 로고
    • Tracklet descriptors for action modeling and video analysis
    • M. Raptis and S. Soatto, "Tracklet descriptors for action modeling and video analysis," in ECCV, 2010.
    • (2010) ECCV
    • Raptis, M.1    Soatto, S.2
  • 26
    • 84898449566 scopus 로고    scopus 로고
    • Discirminative topics modelling for action feature selection and recognition
    • M. Bregonzio, J. Li, S. Gong, and T. Xiang, "Discirminative topics modelling for action feature selection and recognition," in BMVC, 2010.
    • (2010) BMVC
    • Bregonzio, M.1    Li, J.2    Gong, S.3    Xiang, T.4
  • 27
    • 79958737093 scopus 로고    scopus 로고
    • Object, scene and actions: Combining multiple features for human action recognition
    • N. Ikizler-Cinbis and S. Sclaroff, "Object, scene and actions: Combining multiple features for human action recognition," in ECCV, 2010.
    • (2010) ECCV
    • Ikizler-Cinbis, N.1    Sclaroff, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.