메뉴 건너뛰기




Volumn , Issue , 2012, Pages 228-233

Contextual statistics of space-time ordered features for human action recognition

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BAG OF WORDS; BENCHMARK DATASETS; DATA SETS; HUMAN-ACTION RECOGNITION; LOCAL DENSITY; LOCAL STATISTICS; RECOGNITION RATES; SPATIO-TEMPORAL; VIDEO REPRESENTATIONS;

EID: 84868258826     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2012.29     Document Type: Conference Paper
Times cited : (26)

References (37)
  • 1
    • 0033099637 scopus 로고    scopus 로고
    • Human motion analysis: A review
    • J. K. Aggarwal and Q. Cai. Human motion analysis: a review. CVIU, 1999.
    • (1999) CVIU
    • Aggarwal, J.K.1    Cai, Q.2
  • 3
    • 80053961527 scopus 로고    scopus 로고
    • Learning neighborhood cooccurrence statistics of sparse features for human activity recognition
    • P. Banerjee and R. Nevatia. Learning neighborhood cooccurrence statistics of sparse features for human activity recognition. In AVSS, 2011.
    • (2011) AVSS
    • Banerjee, P.1    Nevatia, R.2
  • 7
    • 78651403274 scopus 로고    scopus 로고
    • Context based object categorization: A critical survey
    • C. Galleguillos and S. Belongie. Context based object categorization: A critical survey. CVIU, 2010.
    • (2010) CVIU
    • Galleguillos, C.1    Belongie, S.2
  • 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
    • 35148899327 scopus 로고    scopus 로고
    • Objects in action: An approach for combining action understanding and object perception
    • A. Gupta and L. S. Davis. Objects in action: An approach for combining action understanding and object perception. In CVPR, 2007.
    • (2007) CVPR
    • Gupta, A.1    Davis, L.S.2
  • 10
    • 84881504624 scopus 로고    scopus 로고
    • Recognizing human actions by learning and matching shape-motion prototype trees
    • Z. Jiang, Z. Lin, and L. Davis. Recognizing human actions by learning and matching shape-motion prototype trees. PAMI, 2011.
    • (2011) PAMI
    • Jiang, Z.1    Lin, Z.2    Davis, L.3
  • 11
    • 77955996059 scopus 로고    scopus 로고
    • Gesture recognition by learning local motion signatures
    • M.-B. Kaaniche and F. Bremond. Gesture recognition by learning local motion signatures. In CVPR, 2010.
    • (2010) CVPR
    • Kaaniche, M.-B.1    Bremond, F.2
  • 12
    • 34948833675 scopus 로고    scopus 로고
    • Tensor canonical correlation analysis for action classification
    • T.-K. Kim, S.-F. Wong, and R. Cipolla. Tensor canonical correlation analysis for action classification. In CVPR, 2007.
    • (2007) CVPR
    • Kim, T.-K.1    Wong, S.-F.2    Cipolla, R.3
  • 13
    • 84881508318 scopus 로고    scopus 로고
    • Silhouette-based human activity recognition using independent component analysis, linear discriminant analysis and hidden markov model
    • T.-S. Kim and Z. Uddin. Silhouette-based Human Activity Recognition Using Independent Component Analysis, Linear Discriminant Analysis and Hidden Markov Model. InTech, 2010.
    • (2010) Tech
    • Kim, T.-S.1    Uddin, Z.2
  • 14
    • 84898426452 scopus 로고    scopus 로고
    • A Spatio-temporal descriptor based on 3d-gradients
    • A. Klaser, M. Marszalek, and C. Schmid. A spatio-temporal descriptor based on 3d-gradients. In BMVC, 2008.
    • (2008) BMVC
    • Klaser, A.1    Marszalek, M.2    Schmid, C.3
  • 15
    • 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
  • 16
    • 24944451092 scopus 로고    scopus 로고
    • On space-time interest points
    • I. Laptev. On space-time interest points. IJCV, 2005.
    • (2005) IJCV
    • Laptev, I.1
  • 18
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006.
    • (2006) CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 19
    • 50649103674 scopus 로고    scopus 로고
    • What, where and who? classifying events by scene and object recognition
    • L.-J. Li and L. Fei-Fei. What, where and who? classifying events by scene and object recognition. In ICCV, 2007.
    • (2007) ICCV
    • Li, L.-J.1    Fei-Fei, L.2
  • 20
    • 85101031354 scopus 로고    scopus 로고
    • Recognizing actions by shape-motion prototype trees
    • Z. Lin, Z. Jiang, and L. S. Davis. Recognizing actions by shape-motion prototype trees. In ICCV, 2009.
    • (2009) ICCV
    • Lin, Z.1    Jiang, Z.2    Davis, L.S.3
  • 21
    • 70450203660 scopus 로고    scopus 로고
    • Recognizing realistic actions from videos in 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
  • 22
    • 51949085157 scopus 로고    scopus 로고
    • Learning human action via information maximization
    • J. Liu and M. Shah. Learning human action via information maximization. In CVPR, 2008.
    • (2008) CVPR
    • Liu, J.1    Shah, M.2
  • 24
    • 79958738498 scopus 로고    scopus 로고
    • Representing pairwise spatial and temporal relations for action recognition
    • P. Matikainen, M. Hebert, and R. Sukthankar. Representing pairwise spatial and temporal relations for action recognition. In ECCV, 2010.
    • (2010) ECCV
    • Matikainen, P.1    Hebert, M.2    Sukthankar, R.3
  • 25
    • 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
  • 26
    • 84898026340 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. In BMVC, 2006.
    • (2006) BMVC
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 27
    • 70450192896 scopus 로고    scopus 로고
    • Dense saliencybased spatiotemporal feature points for action recognition
    • K. Rapantzikos, Y. Avrithis, and S. Kollias. Dense saliencybased spatiotemporal feature points for action recognition. In CVPR, 2009.
    • (2009) CVPR
    • Rapantzikos, K.1    Avrithis, Y.2    Kollias, S.3
  • 28
    • 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
  • 29
    • 80052901415 scopus 로고    scopus 로고
    • Modeling the temporal extent of actions
    • S. Satkin and M. Hebert. Modeling the temporal extent of actions. In ECCV, 2010.
    • (2010) ECCV
    • Satkin, S.1    Hebert, M.2
  • 30
    • 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
  • 31
    • 70450214829 scopus 로고    scopus 로고
    • Hierarchical spatio-temporal context modeling for action recognition
    • J. Sun, X. Wu, S. Yan, L.-F. Cheong, T.-S. Chua, and J. Li. Hierarchical spatio-temporal context modeling for action recognition. In CVPR, 2009.
    • (2009) CVPR
    • Sun, J.1    Wu, X.2    Yan, S.3    Cheong, L.-F.4    Chua, T.-S.5    Li, J.6
  • 33
    • 84898890371 scopus 로고    scopus 로고
    • Evaluation of local spatio-temporal features for action recognition
    • H. Wang, M. M. Ullah, A. Klaser, I. Laptev, and C. Schmid. Evaluation of local spatio-temporal features for action recognition. In BMVC, 2009.
    • (2009) BMVC
    • Wang, H.1    Ullah, M.M.2    Klaser, A.3    Laptev, I.4    Schmid, C.5
  • 34
    • 80052885961 scopus 로고    scopus 로고
    • Action recognition with multiscale spatio-temporal contexts
    • J. Wang, Z. Chen, and Y. Wu. Action recognition with multiscale spatio-temporal contexts. In CVPR, 2011.
    • (2011) CVPR
    • Wang, J.1    Chen, Z.2    Wu, Y.3
  • 35
    • 77951269299 scopus 로고    scopus 로고
    • An efficient dense and scale-invariant spatio-temporal interest point detector
    • G. Willems, T. Tuytelaars, and L. Gool. An efficient dense and scale-invariant spatio-temporal interest point detector. In ECCV, 2008.
    • (2008) ECCV
    • Willems, G.1    Tuytelaars, T.2    Gool, L.3
  • 36
    • 84863082785 scopus 로고    scopus 로고
    • Action recognition in videos acquired by a moving camera using motion decomposition of lagrangian particle trajectories
    • S.Wu, O. Oreifej, and M. Shah. Action recognition in videos acquired by a moving camera using motion decomposition of lagrangian particle trajectories. In ICCV, 2011.
    • (2011) ICCV
    • Wu, S.1    Oreifej, O.2    Shah, M.3
  • 37
    • 80052908096 scopus 로고    scopus 로고
    • Action recognition using context and appearance distribution features
    • X.Wu, D. Xu, L. Duan, and J. Luo. Action recognition using context and appearance distribution features. In CVPR, 2011.
    • (2011) CVPR
    • Wu, X.1    Xu, D.2    Duan, L.3    Luo, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.