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Volumn 17, Issue 4, 2015, Pages 512-525

Learning spatial and temporal extents of human actions for action detection

Author keywords

Action localization; action recognition; discriminative latent variable model; split and merge

Indexed keywords

EQUIVALENCE CLASSES; IMAGE RECOGNITION; MOTION ESTIMATION;

EID: 84925135568     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2015.2404779     Document Type: Article
Times cited : (59)

References (36)
  • 4
    • 84863083227 scopus 로고    scopus 로고
    • Discriminative figure-centric models for joint action localization and recognition
    • Nov.
    • T. Lan, Y. Wang, and G. Mori, "Discriminative figure-centric models for joint action localization and recognition," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 2003-210.
    • (2011) Proc. IEEE Int. Conf. Comput. Vis. , pp. 2003-2210
    • Lan, T.1    Wang, Y.2    Mori, G.3
  • 5
    • 84866661728 scopus 로고    scopus 로고
    • Discovering discriminative action parts from mid-level video representations
    • Jun.
    • M. Raptis, I. Kokkinos, and S. Soatto, "Discovering discriminative action parts from mid-level video representations," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2012, pp. 1242-1249.
    • (2012) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 1242-1249
    • Raptis, M.1    Kokkinos, I.2    Soatto, S.3
  • 6
    • 84898798930 scopus 로고    scopus 로고
    • Robust trajectory clustering for motion segmentation
    • Dec.
    • F. Shi, Z. Zhou, J. Xiao, and W. Wu, "Robust trajectory clustering for motion segmentation," in Proc. IEEE Int. Conf. Comput. Vis., Dec. 2013, pp. 3088-3095.
    • (2013) Proc. IEEE Int. Conf. Comput. Vis. , pp. 3088-3095
    • Shi, F.1    Zhou, Z.2    Xiao, J.3    Wu, W.4
  • 7
    • 84898405815 scopus 로고    scopus 로고
    • Recognizing activities with cluster-trees of tracklets
    • Sep.
    • A. Gaidon, Z. Harchaoui, and C. Schmid, "Recognizing activities with cluster-trees of tracklets," in Proc. Brit. Mach. Vis. Conf., Sep. 2012, pp. 30.1-30.13.
    • (2012) Proc. Brit. Mach. Vis. Conf. , pp. 1-13
    • Gaidon, A.1    Harchaoui, Z.2    Schmid, C.3
  • 8
    • 84867849524 scopus 로고    scopus 로고
    • Trajectory-based modeling of human actions with motion reference points
    • Oct.
    • Y.-G. Jiang, Q. Dai, X. Xue, W. Liu, and C.-W. Ngo, "Trajectory-based modeling of human actions with motion reference points," in Proc. Eur. Conf. Comput. Vis., Oct. 2012, vol. 7576, pp. 425-438.
    • (2012) Proc. Eur. Conf. Comput. Vis. , vol.7576 , pp. 425-438
    • Jiang, Y.-G.1    Dai, Q.2    Xue, X.3    Liu, W.4    Ngo, C.-W.5
  • 9
    • 51949084792 scopus 로고    scopus 로고
    • Action MACH: A spatiotemporal maximum average correlation height filter for action recognition
    • Jun.
    • M. D. Rodriguez, J. Ahmed, and M. Shah, "Action MACH: A spatiotemporal maximum average correlation height filter for action recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2008, pp. 1-8.
    • (2008) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 1-8
    • Rodriguez, M.D.1    Ahmed, J.2    Shah, M.3
  • 12
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • Dec.
    • H. Wang and C. Schmid, "Action recognition with improved trajectories," in Proc. IEEE Int. Conf. Comput. Vis., Dec. 2013, pp. 3551-3558.
    • (2013) Proc. IEEE Int. Conf. Comput. Vis. , pp. 3551-3558
    • Wang, H.1    Schmid, C.2
  • 14
    • 84863082785 scopus 로고    scopus 로고
    • Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories
    • Nov.
    • S. Wu, O. Oreifej, and M. Shah, "Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 1419-1426.
    • (2011) Proc. IEEE Int. Conf. Comput. Vis. , pp. 1419-1426
    • Wu, S.1    Oreifej, O.2    Shah, M.3
  • 15
    • 84867884391 scopus 로고    scopus 로고
    • Space-variant descriptor sampling for action recognition based on saliency and eye movements
    • Oct.
    • E. Vig, M. Dorr, and D. Cox, "Space-variant descriptor sampling for action recognition based on saliency and eye movements," in Proc. Eur. Conf. Comput. Vis., Oct. 2012, vol. 7578, pp. 84-97.
    • (2012) Proc. Eur. Conf. Comput. Vis. , vol.7578 , pp. 84-97
    • Vig, E.1    Dorr, M.2    Cox, D.3
  • 18
    • 84856661125 scopus 로고    scopus 로고
    • Learning spatiotemporal graphs of human activities
    • Nov.
    • W. Brendel and S. Todorovic, "Learning spatiotemporal graphs of human activities," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 778-785.
    • (2011) Proc. IEEE Int. Conf. Comput. Vis. , pp. 778-785
    • Brendel, W.1    Todorovic, S.2
  • 19
    • 79551562584 scopus 로고    scopus 로고
    • Large displacement optical flow: Descriptor matching in variational motion estimation
    • Mar.
    • T. Brox and J. Malik, "Large displacement optical flow: Descriptor matching in variational motion estimation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 3, pp. 500-513, Mar. 2011.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.3 , pp. 500-513
    • Brox, T.1    Malik, J.2
  • 20
    • 78149326091 scopus 로고    scopus 로고
    • Object segmentation by long term analysis of point trajectories
    • Sep.
    • T. Brox and J. Malik, "Object segmentation by long term analysis of point trajectories," in Proc. Eur. Conf. Comput. Vis., Sep. 2010, vol. 6315, pp. 282-295.
    • (2010) Proc. Eur. Conf. Comput. Vis. , vol.6315 , pp. 282-295
    • Brox, T.1    Malik, J.2
  • 23
    • 78149294036 scopus 로고    scopus 로고
    • Modeling the temporal extent of actions
    • Sep.
    • S. Satkin and M. Hebert, "Modeling the temporal extent of actions," in Proc. Eur. Conf. Comput. Vis., Sep. 2010, vol. 6311, pp. 536-548.
    • (2010) Proc. Eur. Conf. Comput. Vis. , vol.6311 , pp. 536-548
    • Satkin, S.1    Hebert, M.2
  • 24
    • 84867856332 scopus 로고    scopus 로고
    • Similarity constrained latent support vector machine: An application to weakly supervised action classification
    • Oct.
    • N. Shapovalova, A. Vahdat, K. Cannons, T. Lan, and G. Mori, "Similarity constrained latent support vector machine: An application to weakly supervised action classification," in Proc. Eur. Conf. Comput. Vis., Oct. 2012, vol. 7578, pp. 55-68.
    • (2012) Proc. Eur. Conf. Comput. Vis. , vol.7578 , pp. 55-68
    • Shapovalova, N.1    Vahdat, A.2    Cannons, K.3    Lan, T.4    Mori, G.5
  • 25
    • 44049089172 scopus 로고    scopus 로고
    • A multimodal and multilevel ranking scheme for large-scale video retrieval
    • Jun.
    • S. C. Hoi and M. R. Lyu, "A multimodal and multilevel ranking scheme for large-scale video retrieval," IEEE Trans. Multimedia, vol. 10, no. 4, pp. 607-619, Jun. 2008.
    • (2008) IEEE Trans. Multimedia , vol.10 , Issue.4 , pp. 607-619
    • Hoi, S.C.1    Lyu, M.R.2
  • 26
    • 79957463368 scopus 로고    scopus 로고
    • Fast action detection via discriminative random forest voting and top-K subvolume search
    • Jun.
    • G. Yu, N. A. Goussies, J. Yuan, and Z. Liu, "Fast action detection via discriminative random forest voting and top-K subvolume search," IEEE Trans. Multimedia, vol. 13, no. 3, pp. 507-517, Jun. 2011.
    • (2011) IEEE Trans. Multimedia , vol.13 , Issue.3 , pp. 507-517
    • Yu, G.1    Goussies, N.A.2    Yuan, J.3    Liu, Z.4
  • 28
    • 70049100070 scopus 로고    scopus 로고
    • Learning structural SVMs with latent variables
    • Jun.
    • C.-N. Yu and T. Joachims, "Learning structural SVMs with latent variables," in Proc. Int. Conf. Mach. Learn., Jun. 2009, pp. 1169-1176.
    • (2009) Proc. Int. Conf. Mach. Learn. , pp. 1169-1176
    • Yu, C.-N.1    Joachims, T.2
  • 29
    • 84864121645 scopus 로고    scopus 로고
    • A generic framework for video annotation via semi-supervised learning
    • Aug.
    • T. Zhang, C. Xu, G. Zhu, S. Liu, and H. Lu, "A generic framework for video annotation via semi-supervised learning," IEEE Trans. Multimedia, vol. 14, no. 4, pp. 1206-1219, Aug. 2012.
    • (2012) IEEE Trans. Multimedia , vol.14 , Issue.4 , pp. 1206-1219
    • Zhang, T.1    Xu, C.2    Zhu, G.3    Liu, S.4    Lu, H.5
  • 31
    • 84877744900 scopus 로고    scopus 로고
    • Max-margin structured output regression for spatio-temporal action localization
    • Dec.
    • D. Tran and J. Yuan, "Max-margin structured output regression for spatio-temporal action localization," in Proc. Neural Inf. Process. Syst., Dec. 2012, pp. 350-358.
    • (2012) Proc. Neural Inf. Process. Syst. , pp. 350-358
    • Tran, D.1    Yuan, J.2
  • 33
    • 80052902378 scopus 로고    scopus 로고
    • Optimal spatio-temporal path discovery for video event detection
    • Jun.
    • D. Tran and J. Yuan, "Optimal spatio-temporal path discovery for video event detection," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2011, pp. 3321-3328.
    • (2011) Proc. IEEE Conf. Comput. Vis. Pattern Recog. , pp. 3321-3328
    • Tran, D.1    Yuan, J.2
  • 35
    • 84884541998 scopus 로고    scopus 로고
    • Sparse subspace clustering: Algorithm, theory, and applications
    • Nov.
    • E. Elhamifar and R. Vidal, "Sparse subspace clustering: Algorithm, theory, and applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2765-2781, Nov. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.11 , pp. 2765-2781
    • Elhamifar, E.1    Vidal, R.2
  • 36
    • 77953177672 scopus 로고    scopus 로고
    • Non-negative matrix factorization of partial track data for motion segmentation
    • Sep.-Oct.
    • A. M. Cheriyadat and R. J. Radke, "Non-negative matrix factorization of partial track data for motion segmentation," in Proc. IEEE Int. Conf. Comput. Vis., Sep.-Oct. 2009, pp. 865-872.
    • (2009) Proc. IEEE Int. Conf. Comput. Vis. , pp. 865-872
    • Cheriyadat, A.M.1    Radke, R.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.