메뉴 건너뛰기




Volumn 14, Issue 4 PART1, 2012, Pages 1031-1045

Web-based classifiers for human action recognition

Author keywords

Computer vision; image retrieval; statistical learning

Indexed keywords

ACTION MODELS; ACTION RECOGNITION; ACTION RECOGNITION SYSTEMS; CLASSIFICATION TIME; CLEAN UP; EXPERIMENTAL EVIDENCE; GENERIC DATABASE; GENERIC METHOD; HUMAN INTERVENTION; HUMAN POSE; HUMAN-ACTION RECOGNITION; INTERNET SEARCH ENGINE; KEYPOSES; RETRIEVAL PROCEDURES; STATISTICAL LEARNING; TEMPORAL ORDERING; TRAINING SETS; VIDEO DATA;

EID: 84864131989     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2012.2187180     Document Type: Article
Times cited : (27)

References (56)
  • 1
    • 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 Proc. ICPR, 2004, pp. 32-36.
    • (2004) Proc. ICPR , pp. 32-36
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 3
    • 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 Proc. BMVC, 2006, pp. 1249-1258.
    • (2006) Proc. BMVC , pp. 1249-1258
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 4
    • 50649099025 scopus 로고    scopus 로고
    • A biologically inspired system for action recognition
    • presented at the, Rio de Janeiro, Brazil
    • H. Jhuang, T. Serre, L. Wolf, and T. Poggio, "A biologically inspired system for action recognition," presented at the ICCV, Rio de Janeiro, Brazil, 2007.
    • (2007) ICCV
    • Jhuang, H.1    Serre, T.2    Wolf, L.3    Poggio, T.4
  • 5
    • 34948833675 scopus 로고    scopus 로고
    • Tensor canonical correlation analysis for action classification
    • presented at the, Minneapolis, MN
    • T. K. Kim, S. F. Wong, and R. Cipolla, "Tensor canonical correlation analysis for action classification," presented at the CVPR,Minneapolis, MN, 2007.
    • (2007) CVPR
    • Kim, T.K.1    Wong, S.F.2    Cipolla, R.3
  • 6
    • 51949101597 scopus 로고    scopus 로고
    • Action snippets: How many frames does human action recognition require?
    • presented at the, Anchorage, AK
    • K. Schindler and L. van Gool, "Action snippets: How many frames does human action recognition require?," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Schindler, K.1    Van Gool, L.2
  • 7
    • 57149140985 scopus 로고    scopus 로고
    • Human activity recognition with metric learning
    • D. Tran and A. Sorokin, "Human activity recognition with metric learning," in Proc. ECCV, 2008, pp. 548-561.
    • (2008) Proc. ECCV , pp. 548-561
    • Tran, D.1    Sorokin, A.2
  • 8
    • 51949085356 scopus 로고    scopus 로고
    • Pose primitive based human action recognition in videos or still images
    • presented at the, Anchorage, AK
    • C. Thurau and V. Hlavac, "Pose primitive based human action recognition in videos or still images," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Thurau, C.1    Hlavac, V.2
  • 9
    • 51949110582 scopus 로고    scopus 로고
    • Action recognition using exemplar-based embedding
    • presented at the, Anchorage, AK
    • D. Weinland and E. Boyer, "Action recognition using exemplar-based embedding," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Weinland, D.1    Boyer, E.2
  • 11
    • 57149147931 scopus 로고    scopus 로고
    • Extracting moving people from internet videos
    • J. C. Niebles, B. Han, A. Ferencz, and L. Fei-Fei, "Extracting moving people from internet videos," in Proc. ECCV, 2008, pp. 527-540.
    • (2008) Proc. ECCV , pp. 527-540
    • Niebles, J.C.1    Han, B.2    Ferencz, A.3    Fei-Fei, L.4
  • 12
    • 70450203660 scopus 로고    scopus 로고
    • Recognizing realistic actions from videos "in the wild
    • J. Liu, J. Luo, andM. Shah, "Recognizing realistic actions from videos "in the wild"," in Proc. CVPR, 2009, pp. 1996-2003.
    • (2009) Proc. CVPR , pp. 1996-2003
    • Liu, J.1    Luo, J.2    Shah, M.3
  • 13
    • 51949099260 scopus 로고    scopus 로고
    • Object image retrieval by exploiting online knowledge resources
    • presented at the, Anchorage, AK
    • G. Wang and D. Forsyth, "Object image retrieval by exploiting online knowledge resources," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Wang, G.1    Forsyth, D.2
  • 14
    • 51849143577 scopus 로고    scopus 로고
    • Optimol: Automatic online object picture collection via incremental model learning
    • presented at the, Minneapolis, MN
    • L.-J. Li, G. Wang, and L. Fei-Fei, "Optimol: Automatic online object picture collection via incremental model learning," presented at the CVPR, Minneapolis, MN, 2007.
    • (2007) CVPR
    • Li, L.-J.1    Wang, G.2    Fei-Fei, L.3
  • 15
    • 50649094964 scopus 로고    scopus 로고
    • Harvesting image databases from the web
    • presented at the, Rio de Janeiro, Brazil
    • F. Schroff, A. Criminisi, and A. Zisserman, "Harvesting image databases from the web," presented at the ICCV, Rio de Janeiro, Brazil, 2007.
    • (2007) ICCV
    • Schroff, F.1    Criminisi, A.2    Zisserman, A.3
  • 16
    • 51949096901 scopus 로고    scopus 로고
    • Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization
    • presented at the, Anchorage, AK
    • S. Vijayanarasimhan and K. Grauman, "Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Vijayanarasimhan, S.1    Grauman, K.2
  • 17
    • 33745839880 scopus 로고    scopus 로고
    • Learning object categories from google's image search
    • Beijing, China, Oct.
    • R. Fergus, L. Fei-Fei, P. Perona, and A. Zisserman, "Learning object categories from google's image search," in Proc. 10th Int. Conf. Comput. Vis., Beijing, China, Oct. 2005, vol. 2, pp. 1816-1823.
    • (2005) Proc. 10th Int. Conf. Comput. Vis. , vol.2 , pp. 1816-1823
    • Fergus, R.1    Fei-Fei, L.2    Perona, P.3    Zisserman, A.4
  • 18
    • 33845595951 scopus 로고    scopus 로고
    • Animals on the web
    • T. Berg and D. A. Forsyth, "Animals on the web," in Proc. CVPR, 2006, pp. 1463-1470.
    • (2006) Proc. CVPR , pp. 1463-1470
    • Berg, T.1    Forsyth, D.A.2
  • 19
    • 52249088436 scopus 로고    scopus 로고
    • Filtering internet image search results towards keyword based category recognition
    • presented at the, Anchorage, AK
    • K. Wnuk and S. Soatto, "Filtering internet image search results towards keyword based category recognition," presented at the IEEE Conf. Comput. Vis. Pattern Recognit., Anchorage, AK, 2008.
    • (2008) IEEE Conf. Comput. Vis. Pattern Recognit.
    • Wnuk, K.1    Soatto, S.2
  • 21
    • 82055197311 scopus 로고    scopus 로고
    • Web image and video mining towards universal and robust age estimator
    • Dec.
    • B. Ni, Z. Song, and S. Yan, "Web image and video mining towards universal and robust age estimator," IEEE Trans. Multimedia, vol. 13, no. 6, pp. 1217-1229, Dec. 2011.
    • (2011) IEEE Trans. Multimedia , vol.13 , Issue.6 , pp. 1217-1229
    • Ni, B.1    Song, Z.2    Yan, S.3
  • 23
    • 79952947989 scopus 로고    scopus 로고
    • Learning visual contexts for image annotation from flickr groups
    • Apr.
    • R. Negoescu, B. Adams, D. Phung, S. Venkatesh, and D. Gatica-Perez, "Learning visual contexts for image annotation from flickr groups," IEEE Trans. Multimedia, vol. 13, no. 2, pp. 330-341, Apr. 2011.
    • (2011) IEEE Trans. Multimedia , vol.13 , Issue.2 , pp. 330-341
    • Negoescu, R.1    Adams, B.2    Phung, D.3    Venkatesh, S.4    Gatica-Perez, D.5
  • 24
    • 77953194802 scopus 로고    scopus 로고
    • Learning image similarity from flickr groups using stochastic intersection kernel machines
    • G. Wang, D. Hoiem, and D. Forsyth, "Learning image similarity from flickr groups using stochastic intersection kernel machines," in Proc. ICCV, 2009, pp. 428-435.
    • (2009) Proc. ICCV , pp. 428-435
    • Wang, G.1    Hoiem, D.2    Forsyth, D.3
  • 25
    • 79952928762 scopus 로고    scopus 로고
    • Image annotation by large-scale content-based image retrieval
    • X. Li, L. Chen, L. Zhang, F. Lin, andW.-Y. Ma, "Image annotation by large-scale content-based image retrieval," in Proc. ACM MM, 2006.
    • (2006) Proc. ACM MM
    • Li, X.1    Chen, L.2    Zhang, L.3    Lin, F.4    Ma, W.-Y.5
  • 26
    • 70350333307 scopus 로고    scopus 로고
    • Learning social tag relevance by neighbor voting
    • Nov.
    • X. Li, C. Snoek, and M. Worring, "Learning social tag relevance by neighbor voting," IEEE Trans. Multimedia, vol. 11, no. 7, pp. 1310-1322, Nov. 2009.
    • (2009) IEEE Trans. Multimedia , vol.11 , Issue.7 , pp. 1310-1322
    • Li, X.1    Snoek, C.2    Worring, M.3
  • 28
    • 77956003629 scopus 로고    scopus 로고
    • Visual event recognition in videos by learning fromweb data
    • presented at the, San Francisco, CA
    • L. Duan, D. Xu, I. Tsang, and J. Luo, "Visual event recognition in videos by learning fromweb data," presented at the CVPR, San Francisco, CA, 2010.
    • (2010) CVPR
    • Duan, L.1    Xu, D.2    Tsang, I.3    Luo, J.4
  • 30
    • 77955987964 scopus 로고    scopus 로고
    • Grouplet: A structured image representation for recognizing human and object interactions
    • presented at the, San Francisco, CA, Jun
    • B. Yao and L. Fei-Fei, "Grouplet: A structured image representation for recognizing human and object interactions," presented at the 23rd IEEE Conf. Comput. Vis. Pattern Recognit., San Francisco, CA, Jun. 2010.
    • (2010) 23rd IEEE Conf. Comput. Vis. Pattern Recognit.
    • Yao, B.1    Fei-Fei, L.2
  • 31
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • presented at the, Anchorage, AK
    • P. Felzenszwalb, D.McAllester, and D. Ramanan, "A discriminatively trained, multiscale, deformable part model," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 33
    • 69549126943 scopus 로고    scopus 로고
    • Detecting humans via their pose
    • A. Bissacco, M.-H. Yang, and S. Soatto, "Detecting humans via their pose," in Proc. NIPS, 2006, pp. 169-176.
    • (2006) Proc. NIPS , pp. 169-176
    • Bissacco, A.1    Yang, M.-H.2    Soatto, S.3
  • 34
    • 56749154105 scopus 로고    scopus 로고
    • Relevant feature selection for human pose estimation and localization in cluttered images
    • R. Okada and S. Soatto, "Relevant feature selection for human pose estimation and localization in cluttered images," in Proc. ECCV, 2008, pp. 434-445.
    • (2008) Proc. ECCV , pp. 434-445
    • Okada, R.1    Soatto, S.2
  • 35
    • 77949275097 scopus 로고    scopus 로고
    • A survey on vision-based human action recognition
    • Jun.
    • R. Poppe, "A survey on vision-based human action recognition," Image Vis. Comput., vol. 28, pp. 976-990, Jun. 2010.
    • (2010) Image Vis. Comput. , vol.28 , pp. 976-990
    • Poppe, R.1
  • 36
    • 78751648503 scopus 로고    scopus 로고
    • A survey of vision-based methods for action representation, segmentation and recognition
    • Feb.
    • D. Weinland, R. Ronfard, and E. Boyer, "A survey of vision-based methods for action representation, segmentation and recognition," CVIU, vol. 115, pp. 224-241, Feb. 2011.
    • (2011) CVIU , vol.115 , pp. 224-241
    • Weinland, D.1    Ronfard, R.2    Boyer, E.3
  • 37
    • 50649103739 scopus 로고    scopus 로고
    • Event detection in crowded videos
    • presented at the, Rio de Janeiro, Brazil
    • Y. Ke, R. Sukthankar, and M. Hebert, "Event detection in crowded videos," presented at the Int. Conf. Comput. Vis., Rio de Janeiro, Brazil, 2007.
    • (2007) Int. Conf. Comput. Vis.
    • Ke, Y.1    Sukthankar, R.2    Hebert, M.3
  • 38
    • 51949105878 scopus 로고    scopus 로고
    • Action recognition with motion-Appearance vocabulary forest
    • presented at the, Anchorage, AK
    • K. Mikolajczyk and H. Uemura, "Action recognition with motion-Appearance vocabulary forest," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Mikolajczyk, K.1    Uemura, H.2
  • 39
    • 51949083365 scopus 로고    scopus 로고
    • Learning realistic human actions from movies
    • presented at the, Anchorage, AK
    • I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld, "Learning realistic human actions from movies," presented at the CVPR, Anchorage, AK, 2008.
    • (2008) CVPR
    • Laptev, I.1    Marszalek, M.2    Schmid, C.3    Rozenfeld, B.4
  • 40
    • 52449115894 scopus 로고    scopus 로고
    • Searching for complex human activities with no visual examples
    • N. Ikizler and D. Forsyth, "Searching for complex human activities with no visual examples," IJCV, vol. 80, no. 3, pp. 337-357, 2008.
    • (2008) IJCV , vol.80 , Issue.3 , pp. 337-357
    • Ikizler, N.1    Forsyth, D.2
  • 45
    • 54749092170 scopus 로고    scopus 로고
    • 80 million tiny images: A large dataset for non-parametric object and scene recognition
    • A. Torralba, R. Fergus, andW. T. Freeman, "80 million tiny images: A large dataset for non-parametric object and scene recognition," PAMI, vol. 30, no. 11, pp. 1958-1970, 2008.
    • (2008) PAMI , vol.30 , Issue.11 , pp. 1958-1970
    • Torralba, A.1    Fergus, R.2    Freeman, W.T.3
  • 47
    • 84862907634 scopus 로고    scopus 로고
    • Slow feature analysis for human action recognition
    • Mar.
    • Z. Zhang and D. Tao, "Slow feature analysis for human action recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 3, pp. 436-450, Mar. 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.3 , pp. 436-450
    • Zhang, Z.1    Tao, D.2
  • 48
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. CVPR, 2005, pp. I: 886-I: 893.
    • (2005) Proc. CVPR
    • Dalal, N.1    Triggs, B.2
  • 49
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color and texture cues
    • D. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using local brightness, color and texture cues," PAMI, vol. 26, no. 5, pp. 530-549, 2004.
    • (2004) PAMI , vol.26 , Issue.5 , pp. 530-549
    • Martin, D.1    Fowlkes, C.2    Malik, J.3
  • 50
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. Lee and H. Seung, "Algorithms for non-negative matrix factorization," in Proc. NIPS, 2001, pp. 556-562.
    • (2001) Proc. NIPS , pp. 556-562
    • Lee, D.1    Seung, H.2
  • 51
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • May
    • D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, May 2002.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 52
    • 0028112849 scopus 로고
    • Good features to track
    • J. Shi and C. Tomasi, "Good features to track," in Proc. CVPR, 1994, pp. 593-600.
    • (1994) Proc. CVPR , pp. 593-600
    • Shi, J.1    Tomasi, C.2
  • 53
    • 78149348487 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 Proc. ECCV, 2010, pp. 494-507.
    • (2010) Proc. ECCV , pp. 494-507
    • Ikizler-Cinbis, N.1    Sclaroff, S.2
  • 54
    • 33745140905 scopus 로고    scopus 로고
    • Detection and explanation of anomalous activities: Representing activities as bags of event n-grams
    • R. Hamid, A. Johnson, S. Batta, A. Bobick, C. Isbell, and G. Coleman, "Detection and explanation of anomalous activities: Representing activities as bags of event n-grams," in Proc. CVPR, 2005, vol. 1, pp. 1031-1038.
    • (2005) Proc. CVPR , vol.1 , pp. 1031-1038
    • Hamid, R.1    Johnson, A.2    Batta, S.3    Bobick, A.4    Isbell, C.5    Coleman, G.6
  • 56
    • 80051544749 scopus 로고    scopus 로고
    • Non-negative patch alignment framework
    • Aug.
    • N.Guan, D. Tao, Z. Luo, and B.Yuan, "Non-negative patch alignment framework," IEEE Trans. Neural Netw., vol. 22, no. 8, pp. 1218-1230, Aug. 2011.
    • (2011) IEEE Trans. Neural Netw. , vol.22 , Issue.8 , pp. 1218-1230
    • Guan, N.1    Tao, D.2    Luo, Z.3    Yuan, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.