메뉴 건너뛰기




Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 4552-4560

Action recognition by hierarchical mid-level action elements

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLUSTERING ALGORITHMS; COMPUTER VISION; IMAGE RECOGNITION;

EID: 84973931670     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.517     Document Type: Conference Paper
Times cited : (73)

References (42)
  • 5
    • 84856661125 scopus 로고    scopus 로고
    • Learning spatiotemporal graphs of human activities
    • W. Brendel and S. Todorovic. Learning spatiotemporal graphs of human activities. In ICCV, 2011.
    • (2011) ICCV
    • Brendel, W.1    Todorovic, S.2
  • 7
    • 71149096870 scopus 로고    scopus 로고
    • Large margin training for hidden markov models with partially observed states
    • T.-M.-T. Do and T. Artieres. Large margin training for hidden markov models with partially observed states. In ICML, 2009.
    • (2009) ICML
    • Do, T.-M.-T.1    Artieres, T.2
  • 9
    • 0344983342 scopus 로고    scopus 로고
    • Recognizing action at a distance
    • A. A. Efros, A. C. Berg, G. Mori, and J. Malik. Recognizing action at a distance. In ICCV, pages 726-733, 2003.
    • (2003) ICCV , pp. 726-733
    • Efros, A.A.1    Berg, A.C.2    Mori, G.3    Malik, J.4
  • 10
    • 79851509694 scopus 로고    scopus 로고
    • Category independent object proposals
    • I. Endres and D. Hoiem. Category independent object proposals. In ECCV, 2010.
    • (2010) ECCV
    • Endres, I.1    Hoiem, D.2
  • 11
    • 84897461487 scopus 로고    scopus 로고
    • Activity representation with motion hierarchies
    • A. Gaidon, Z. Harchaoui, and C. Schmid. Activity representation with motion hierarchies. ICCV, 2014.
    • (2014) ICCV
    • Gaidon, A.1    Harchaoui, Z.2    Schmid, C.3
  • 12
    • 80052873938 scopus 로고    scopus 로고
    • Joint segmentation and classification of human actions in video
    • M. Hoai, Z.-Z. Lan, and F. De la Torre. Joint segmentation and classification of human actions in video. In CVPR, 2011.
    • (2011) CVPR
    • Hoai, M.1    Lan, Z.-Z.2    De La Torre, F.3
  • 13
    • 84887337772 scopus 로고    scopus 로고
    • Representing videos using mid-level discriminative patches
    • A. Jain, A. Gupta, M. Rodriguez, and L. S. Davis. Representing videos using mid-level discriminative patches. In CVPR, 2013.
    • (2013) CVPR
    • Jain, A.1    Gupta, A.2    Rodriguez, M.3    Davis, L.S.4
  • 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
  • 19
    • 84947609310 scopus 로고    scopus 로고
    • A hierarchical representation for future action prediction
    • T. Lan, T.-C. Chen, and S. Savarese. A hierarchical representation for future action prediction. In ECCV, 2014.
    • (2014) ECCV
    • Lan, T.1    Chen, T.-C.2    Savarese, S.3
  • 20
    • 84863083227 scopus 로고    scopus 로고
    • Discriminative figure-centric models for joint action localization and recognition
    • T. Lan, Y. Wang, and G. Mori. Discriminative figure-centric models for joint action localization and recognition. In ICCV, 2011.
    • (2011) ICCV
    • Lan, T.1    Wang, Y.2    Mori, G.3
  • 22
    • 50649122769 scopus 로고    scopus 로고
    • Retrieving actions in movies
    • I. Laptev and P. Pérez. Retrieving actions in movies. In ICCV, 2007.
    • (2007) ICCV
    • Laptev, I.1    Pérez, P.2
  • 23
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • D. G. Lowe. Object recognition from local scale-invariant features. In ICCV, pages 1150-1157, 1999.
    • (1999) ICCV , pp. 1150-1157
    • Lowe, D.G.1
  • 24
    • 84898783317 scopus 로고    scopus 로고
    • Action recognition and localization by hierarchical space-time segments
    • S. Ma, J. Zhang, N. Ikizler-Cinbis, and S. Sclaroff. Action recognition and localization by hierarchical space-time segments. In ICCV, 2013.
    • (2013) ICCV
    • Ma, S.1    Zhang, J.2    Ikizler-Cinbis, N.3    Sclaroff, S.4
  • 26
    • 80052874353 scopus 로고    scopus 로고
    • Modeling temporal structure of decomposable motion segments for activity classification
    • J. C. Niebles, C.-W. Chen, and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010.
    • (2010) ECCV
    • Niebles, J.C.1    Chen, C.-W.2    Fei-Fei, L.3
  • 27
    • 84898791167 scopus 로고    scopus 로고
    • Action and event recognition with fisher vectors on a compact feature set
    • D. Oneata, J. Verbeek, and C. Schmid. Action and event recognition with fisher vectors on a compact feature set. In ICCV, 2013.
    • (2013) ICCV
    • Oneata, D.1    Verbeek, J.2    Schmid, C.3
  • 28
    • 84973880304 scopus 로고    scopus 로고
    • Efficient action localization with approximately normalized fisher vectors
    • D. Oneata, J. Verbeek, and C. Schmid. Efficient Action Localization with Approximately Normalized Fisher Vectors. In CVPR. IEEE, 2014.
    • (2014) CVPR. IEEE
    • Oneata, D.1    Verbeek, J.2    Schmid, C.3
  • 30
    • 79959771606 scopus 로고    scopus 로고
    • Improving the fisher kernel for large-scale image classification
    • F. Perronnin, J. Sanchez, and T. Mensink. Improving the fisher kernel for large-scale image classification. In ECCV, 2010.
    • (2010) ECCV
    • Perronnin, F.1    Sanchez, J.2    Mensink, T.3
  • 31
    • 84911384466 scopus 로고    scopus 로고
    • Parsing videos of actions with segmental grammars
    • H. Pirsiavash and D. Ramanan. Parsing videos of actions with segmental grammars. In CVPR, 2014.
    • (2014) CVPR
    • Pirsiavash, H.1    Ramanan, D.2
  • 32
    • 84866661728 scopus 로고    scopus 로고
    • Discovering discriminative action parts from mid-level video representations
    • M. Raptis, I. Kokkinos, and S. Soatto. Discovering discriminative action parts from mid-level video representations. In CVPR, 2012.
    • (2012) CVPR
    • Raptis, M.1    Kokkinos, I.2    Soatto, S.3
  • 33
    • 84887345098 scopus 로고    scopus 로고
    • Poselet key-framing: A model for human activity recognition
    • M. Raptis and L. Sigal. Poselet key-framing: A model for human activity recognition. In CVPR, 2013.
    • (2013) CVPR
    • Raptis, M.1    Sigal, L.2
  • 34
    • 51949084792 scopus 로고    scopus 로고
    • Action Mach: A spatial-temporal maximum average correlation height filter for action recognition
    • M. D. Rodriguez, J. Ahmed, and M. Shah. Action mach: A spatial-temporal maximum average correlation height filter for action recognition. In CVPR, 2008.
    • (2008) CVPR
    • Rodriguez, M.D.1    Ahmed, J.2    Shah, M.3
  • 35
    • 84866710901 scopus 로고    scopus 로고
    • A database for fine grained activity detection of cooking activities
    • M. Rohrbach, S. Amin, M. Andriluka, and B. Schiele. A database for fine grained activity detection of cooking activities. In CVPR, 2012.
    • (2012) CVPR
    • Rohrbach, M.1    Amin, S.2    Andriluka, M.3    Schiele, B.4
  • 36
    • 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
  • 37
    • 24644494745 scopus 로고    scopus 로고
    • Space-time behavior based correlation
    • E. Shechtman and M. Irani. Space-time behavior based correlation. In CVPR, 2005.
    • (2005) CVPR
    • Shechtman, E.1    Irani, M.2
  • 38
    • 84884958786 scopus 로고    scopus 로고
    • Unsupervised discovery of mid-level discriminative patches
    • S. Singh, A. Gupta, and A. A. Efros. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012.
    • (2012) ECCV
    • Singh, S.1    Gupta, A.2    Efros, A.A.3
  • 39
    • 84866658784 scopus 로고    scopus 로고
    • Learning latent temporal structure for complex event detection
    • K. Tang, L. Fei-Fei, and D. Koller. Learning latent temporal structure for complex event detection. In CVPR, 2012.
    • (2012) CVPR
    • Tang, K.1    Fei-Fei, L.2    Koller, D.3
  • 40
    • 84887356306 scopus 로고    scopus 로고
    • Spatiotemporal deformable part models for action detection
    • Y. Tian, R. Sukthankar, and M. Shah. Spatiotemporal deformable part models for action detection. In CVPR, 2013.
    • (2013) CVPR
    • Tian, Y.1    Sukthankar, R.2    Shah, M.3
  • 41
    • 84898805910 scopus 로고    scopus 로고
    • Action recognition with improved trajectories
    • H. Wang and C. Schmid. Action recognition with improved trajectories. In ICCV, 2013.
    • (2013) ICCV
    • Wang, H.1    Schmid, C.2
  • 42
    • 77955988492 scopus 로고    scopus 로고
    • Modeling mutual context of object and human pose in human-object interaction activities
    • B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010.
    • (2010) CVPR
    • Yao, B.1    Fei-Fei, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.