{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:09:15Z","timestamp":1750824555037,"version":"3.41.0"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319570204"},{"type":"electronic","value":"9783319570211"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-57021-1_5","type":"book-chapter","created":{"date-parts":[[2017,7,19]],"date-time":"2017-07-19T04:43:44Z","timestamp":1500439424000},"page":"155-181","source":"Crossref","is-referenced-by-count":0,"title":["Language-Motivated Approaches to Action Recognition"],"prefix":"10.1007","author":[{"given":"Manavender R.","family":"Malgireddy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I.","family":"Nwogu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Govindaraju","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,20]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1922649.1922653","volume":"43","author":"JK Aggarwal","year":"2011","unstructured":"J.K. Aggarwal, M.S. Ryoo, Human activity analysis: a review. ACM Comput. Surv. 43, 1\u201316 (2011)","journal-title":"ACM Comput. Surv."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Y. Benabbas, A. Lablack, N. Ihaddadene, C. Djeraba, Action recognition using direction models of motion, in Proceedings of the 2010 International Conference on Pattern Recognition, 2010, pp. 4295\u20134298","DOI":"10.1109\/ICPR.2010.1044"},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"H. Bilen, V.P. Namboodiri, L. Van\u00a0Gool, Action recognition: a region based approach, in Proceedings of the 2011 IEEE Workshop on the Applications of Computer Vision, 2011, pp. 294\u2013300","DOI":"10.1109\/WACV.2011.5711517"},{"key":"5_CR4","first-page":"993","volume":"3","author":"David M Blei","year":"2003","unstructured":"David M. Blei, Andrew Y. Ng, Michael I. Jordan, Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"M.\u00a0Bregonzio, S. Gong, T. Xiang, Recognising action as clouds of space-time interest points, in Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 1948\u20131955","DOI":"10.1109\/CVPR.2009.5206779"},{"key":"5_CR6","unstructured":"ChaLearn. ChaLearn Gesture Dataset (CGD2011), ChaLearn, California, 2011. http:\/\/gesture.chalearn.org\/2011-one-shot-learning"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"N. Dalal, B. Triggs, Histograms of oriented gradients for human detection, in Proceedings of the 2005 IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"K.G. Derpanis, M. Sizintsev, K. Cannons, R.P. Wildes, Efficient action spotting based on a spacetime oriented structure representation, in Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 1990\u20131997","DOI":"10.1109\/CVPR.2010.5539874"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"P. Doll\u00e1r, V. Rabaud, G. Cottrell, S. Belongie, Behavior recognition via sparse spatio-temporal features, in Proceedings of the 2005 IEEE Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005, pp. 65\u201372","DOI":"10.1109\/VSPETS.2005.1570899"},{"issue":"5","key":"5_CR10","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1109\/TPAMI.2010.144","volume":"33","author":"A Gilbert","year":"2011","unstructured":"A. Gilbert, J. Illingworth, R. Bowden, Action recognition using mined hierarchical compound features. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 883\u2013897 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"S. Gong, and T. Xiang, Recognition of group activities using dynamic probabilistic networks, in Proceedings of the 2003 IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 2003, pp. 742\u2013749","DOI":"10.1109\/ICCV.2003.1238423"},{"key":"5_CR12","unstructured":"G. Heinrich, Parameter estimation for text analysis. Technical report, University of Leipzig, 2008"},{"key":"5_CR13","doi-asserted-by":"crossref","unstructured":"T. Hospedales, S.G. Gong, T. Xiang, A Markov clustering topic model for mining behaviour in video, in Proceedings of the 2009 International Conference on Computer Vision, 2009, pp. 1165\u20131172","DOI":"10.1109\/ICCV.2009.5459342"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"A. Kl\u00e4ser, M. Marszalek, C. Schmid, A spatio-temporal descriptor based on 3d-gradients, in Proceedings of the 2008 British Machine Vision Conference (2008)","DOI":"10.5244\/C.22.99"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"A. Kovashka, K. Grauman, Learning a hierarchy of discriminative space-time neighborhood features for human action recognition, in Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition, 2010, pp. 2046\u20132053","DOI":"10.1109\/CVPR.2010.5539881"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"H.\u00a0Kuehne, H.\u00a0Jhuang, E.\u00a0Garrote, T.\u00a0Poggio, T.\u00a0Serre, HMDB: a large video database for human motion recognition, in Proceedings of the 2011 International Conference on Computer Vision 2011","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"5_CR17","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s11263-005-1838-7","volume":"64","author":"I Laptev","year":"2005","unstructured":"I. Laptev, On space-time interest points. Int. J. Comput. Vis. 64, 107\u2013123 (2005)","journal-title":"Int. J. Comput. Vis."},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"I. Laptev, T. Lindeberg, Space-time interest points, in Proceedings of the 2003 International Conference on Computer Vision, 2003, pp. 432\u2013439","DOI":"10.1109\/ICCV.2003.1238378"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"I. Laptev, M. Marszalek, C. Schmid, B. Rozenfeld, Learning realistic human actions from movies, in Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1\u20138","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"P. Matikainen, M. Hebert, R. Sukthankar, Trajectons: Action recognition through the motion analysis of tracked features, in Proceedings of the 2009 IEEE Workshop on Video-Oriented Object and Event Classification (2009)","DOI":"10.1109\/ICCVW.2009.5457659"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"P. Matikainen, M. Hebert, R. Sukthankar, Representing pairwise spatial and temporal relations for action recognition, in Proceedings of the 2010 European Conference on Computer Vision 2010","DOI":"10.1007\/978-3-642-15549-9_37"},{"key":"5_CR22","doi-asserted-by":"crossref","unstructured":"R. Messing, C. Pal, H. Kautz, Activity recognition using the velocity histories of tracked keypoints, in Proceedings of the 2009 International Conference on Computer Vision 2009","DOI":"10.1109\/ICCV.2009.5459154"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"P. Natarajan, R. Nevatia, Coupled hidden semi Markov models for activity recognition, in Proceedings of the IEEE Workshop on Motion and Video Computing 2007","DOI":"10.1109\/WMVC.2007.12"},{"key":"5_CR24","doi-asserted-by":"crossref","unstructured":"N.T. Nguyen, D.Q. Phung, S. Venkatesh, Learning and detecting activities from movement trajectories using the hierarchical hidden Markov models, in Proceedings of the 2005 IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 955\u2013960","DOI":"10.1109\/CVPR.2005.203"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"E. Nowak, F. Jurie, B. Triggs, Sampling strategies for bag-of-features image classification, in Proceedings of the 2006 European Conference on Computer Vision, 2006, pp. 490\u2013503","DOI":"10.1007\/11744085_38"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"N. Oliver, E. Horvitz, A. Garg, Layered representations for human activity recognition, in Proceedings of the 2002 IEEE International Conference on Multimodal Interfaces, 2002, pp. 3\u20138","DOI":"10.1109\/ICMI.2002.1166960"},{"issue":"8","key":"5_CR27","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1109\/34.868684","volume":"22","author":"Nuria M Oliver","year":"2000","unstructured":"Nuria M. Oliver, Barbara Rosario, Alex P. Pentland, A Bayesian computer vision system for modeling human interactions. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 831\u2013843 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR28","doi-asserted-by":"crossref","unstructured":"J.R. Rohlicek, W.\u00a0Russell, S.\u00a0Roukos, H.\u00a0Gish, Continuous hidden Markov modeling for speaker-independent word spotting, in Proceedings of the 1989 International Conference on Acoustics, Speech, and Signal Processing, 1989, pp. 627\u2013630","DOI":"10.1109\/ICASSP.1989.266505"},{"key":"5_CR29","doi-asserted-by":"crossref","unstructured":"R.\u00a0Rose, D.\u00a0Paul, A hidden Markov model based keyword recognition system, in Proceedings of the 1990 International Conference on Acoustics, Speech, and Signal Processing 1990","DOI":"10.1109\/ICASSP.1990.115555"},{"key":"5_CR30","doi-asserted-by":"crossref","unstructured":"C. Sch\u00fcldt, I. Laptev, B. Caputo, Recognizing human actions: a local svm approach, in Proceedings of the 2004 International Conference on Pattern Recognition, 2004, pp. 32\u201336","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"5_CR31","doi-asserted-by":"crossref","unstructured":"P. Scovanner, S. Ali, M. Shah, A 3-dimensional sift descriptor and its application to action recognition, in Procedings of the ACM International Conference on Multimedia, 2007, pp. 57\u2013360","DOI":"10.1145\/1291233.1291311"},{"key":"5_CR32","unstructured":"University of Central Florida. University of Central Florida, Computer Vision Lab, 2010. URL http:\/\/server.cs.ucf.edu\/~vision\/data\/UCF50.rar"},{"key":"5_CR33","doi-asserted-by":"crossref","unstructured":"H. Wang, M.M. Ullah, A. Kl\u00e4ser, I. Laptev, C. Schmid,Evaluation of local spatio-temporal features for action recognition, in Proceedings of the 2009 British Machine Vision Conference 2009","DOI":"10.5244\/C.23.124"},{"key":"5_CR34","doi-asserted-by":"crossref","unstructured":"H. Wang, A. Kl\u00e4ser, C. Schmid, L. Cheng-Lin, Action recognition by dense trajectories. in Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, 2011, pp. 3169\u20133176","DOI":"10.1109\/CVPR.2011.5995407"},{"key":"5_CR35","doi-asserted-by":"crossref","unstructured":"G. Willems, T. Tuytelaars, L. Gool, An efficient dense and scale-invariant spatio-temporal interest point detector, in Proceedings of the 2008 European Conference on Computer Vision, 2008, pp. 650\u2013663","DOI":"10.1007\/978-3-540-88688-4_48"},{"key":"5_CR36","doi-asserted-by":"crossref","unstructured":"J.\u00a0Yamato, J.\u00a0Ohya, K.\u00a0Ishii, Recognizing human action in time-sequential images using hidden Markov model, in Proceedings of the 1992 IEEE Conference on Computer Vision and Pattern Recognition, 1992, pp. 379\u2013385","DOI":"10.1109\/CVPR.1992.223161"},{"key":"5_CR37","doi-asserted-by":"crossref","unstructured":"L.\u00a0Yeffet, L.\u00a0Wolf, Local trinary patterns for human action recognition, in Proceedings of the 2009 International Conference on Computer Vision 2009","DOI":"10.1109\/ICCV.2009.5459201"},{"key":"5_CR38","doi-asserted-by":"crossref","unstructured":"J. Yuan, Z. Liu, Y. Wu, Discriminative subvolume search for efficient action detection, in Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition 2009","DOI":"10.1109\/CVPR.2009.5206671"}],"container-title":["The Springer Series on Challenges in Machine Learning","Gesture Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-57021-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T15:08:27Z","timestamp":1750777707000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-57021-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319570204","9783319570211"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-57021-1_5","relation":{},"ISSN":["2520-131X","2520-1328"],"issn-type":[{"type":"print","value":"2520-131X"},{"type":"electronic","value":"2520-1328"}],"subject":[],"published":{"date-parts":[[2017]]}}}