{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T13:38:36Z","timestamp":1725889116925},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319592589"},{"type":"electronic","value":"9783319592596"}],"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\/978-3-319-59259-6_8","type":"book-chapter","created":{"date-parts":[[2017,5,30]],"date-time":"2017-05-30T22:56:53Z","timestamp":1496185013000},"page":"85-97","source":"Crossref","is-referenced-by-count":0,"title":["Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition"],"prefix":"10.1007","author":[{"given":"Wen","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunfeng","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiming","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaoquan","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,1]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.: Learning realistic human actions from movies. In: CVPR, pp. 1\u20138 (2008)","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B., Schmid, C.: Human detection using oriented histograms of flow and appearance. In: ECCV, pp. 428\u2013441 (2006)","DOI":"10.1007\/11744047_33"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Scovanner, P., Ali, S., Shah, M.: A 3-dimensional sift descriptor and its application to action recognition. In: ACM MM, pp. 357\u2013360 (2007)","DOI":"10.1145\/1291233.1291311"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Klaser, A., Marszalek, M., Schmid, C.: A spatio-temporal descriptor based on 3d-gradients. In: BMVC (2008)","DOI":"10.5244\/C.22.99"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Willems, G., Tuytelaars, T., Gool, L.V.: An efficient dense and scale-invariant spatio-temporal interest point detector. In: ECCV, pp. 650\u2013663 (2008)","DOI":"10.1007\/978-3-540-88688-4_48"},{"key":"8_CR6","unstructured":"Sun, J., Wu, X., Yan, S., Cheong, L.F., Chua, T.S., Li, J.: Hierarchical spatio-temporal context modeling for action recognition. In: CVPR, pp. 2004\u20132011 (2009)"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Wang, H., Kl\u00e4ser, A., Schmid, C., Liu, C.L.: Action recognition by dense trajectories. In: CVPR, pp. 3169\u20133176 (2011)","DOI":"10.1109\/CVPR.2011.5995407"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Tian, Y., Cao, L., Liu, Z., Zhang, Z.: Hierarchical filtered motion for action recognition in crowded videos. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 42, 313\u2013323 (2012)","DOI":"10.1109\/TSMCC.2011.2149519"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Ullah, M.M., Parizi, S.N., Laptev, I.: Improving bag-of-features action recognition with non-local cues. In: BMVC, pp. 95.1\u201395.11 (2010)","DOI":"10.5244\/C.24.95"},{"key":"8_CR10","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s11263-006-9794-4","volume":"73","author":"J Zhang","year":"2007","unstructured":"Zhang, J., Marsza\u0142ek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. IJCV 73, 213\u2013238 (2007)","journal-title":"IJCV"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Girolami, M., Rogers, S.: Hierarchic Bayesian models for kernel learning. In: ICML, pp. 241\u2013248 (2005)","DOI":"10.1145\/1102351.1102382"},{"key":"8_CR12","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1093\/bioinformatics\/btn112","volume":"24","author":"T Damoulas","year":"2008","unstructured":"Damoulas, T., Girolami, M.A.: Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection. Bioinformatics 24, 1264\u20131270 (2008)","journal-title":"Bioinformatics"},{"key":"8_CR13","unstructured":"G\u00f6nen, M.: Bayesian efficient multiple kernel learning. In: ICML, pp. 1\u20138 (2012)"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Wang, H., Schmid, C.: Action recognition with improved trajectories. In: ICCV, pp. 3551\u20133558 (2013)","DOI":"10.1109\/ICCV.2013.441"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Perronnin, F., Dance, C.: Fisher kernels on visual vocabularies for image categorization. In: CVPR, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383266"},{"key":"8_CR16","volume-title":"Variational Algorithms for Approximate Bayesian Inference","author":"MJ Beal","year":"2003","unstructured":"Beal, M.J.: Variational Algorithms for Approximate Bayesian Inference. University of London, London (2003)"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local SVM approach. In: ICPR, vol. 3, pp. 32\u201336 (2004)","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Rodriguez, M.D., Ahmed, J., Shah, M.: Action mach a spatio-temporal maximum average correlation height filter for action recognition. In: CVPR, pp. 1\u20138 (2008)","DOI":"10.1109\/CVPR.2008.4587727"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.: HMDB: a large video database for human motion recognition. In: ICCV, pp. 2556\u20132563 (2011)","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"8_CR20","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.neucom.2015.01.064","volume":"158","author":"B Sheng","year":"2015","unstructured":"Sheng, B., Yang, W., Sun, C.: Action recognition using direction-dependent feature pairs and non-negative low rank sparse model. Neurocomputing 158, 73\u201380 (2015)","journal-title":"Neurocomputing"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, H., Zhou, W., Reardon, C., Parker, L.E.: Simplex-based 3d spatio-temporal feature description for action recognition. In: CVPR, pp. 2067\u20132074 (2014)","DOI":"10.1109\/CVPR.2014.265"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Wu, J., Zhang, Y., Lin, W.: Towards good practices for action video encoding. In: CVPR, pp. 2577\u20132584 (2014)","DOI":"10.1109\/CVPR.2014.330"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Sun, L., Jia, K., Chan, T., Fang, Y., Wang, G., Yan, S.: Dl-sfa: deeply-learned slow feature analysis for action recognition. In: CVPR, pp. 2625\u20132632 (2014)","DOI":"10.1109\/CVPR.2014.336"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Yang, X., Tian, Y.L.: Action recognition using super sparse coding vector with spatio-temporal awareness. In: ECCV, pp. 727\u2013741 (2014)","DOI":"10.1007\/978-3-319-10605-2_47"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Veeriah, V., Zhuang, N., Qi, G.: Differential recurrent neural networks for action recognition. In: ICCV, pp. 4041\u20134049 (2015)","DOI":"10.1109\/ICCV.2015.460"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Lan, T., Zhu, Y., Zamir, A.R., Savarese, S.: Action recognition by hierarchical mid-level action elements. In: ICCV, pp. 4552\u20134560 (2015)","DOI":"10.1109\/ICCV.2015.517"},{"key":"8_CR27","unstructured":"Shao, L., Liu, L., Yu, M.: Kernelized multiview projection for robust action recognition. IJCV 1\u201315 (2015)"},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"Wang, D., Shao, Q., Li, X.: A new unsupervised model of action recognition. In: ICIP, pp. 1160\u20131164 (2015)","DOI":"10.1109\/ICIP.2015.7350982"},{"key":"8_CR29","doi-asserted-by":"crossref","unstructured":"Liu, A.A., Su, Y.T., Nie, W.Z., Kankanhalli, M.: Hierarchical clustering multi-task learning for joint human action grouping and recognition. T-PAMI, 1\u201314 (2016)","DOI":"10.1109\/TPAMI.2016.2537337"},{"key":"8_CR30","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TCYB.2015.2399172","volume":"46","author":"L Liu","year":"2016","unstructured":"Liu, L., Shao, L., Li, X., Lu, K.: Learning spatio-temporal representations for action recognition: a genetic programming approach. IEEE Trans. Cybern. 46, 158\u2013170 (2016)","journal-title":"IEEE Trans. Cybern."}],"container-title":["Lecture Notes in Computer Science","Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59259-6_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T04:24:37Z","timestamp":1569385477000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59259-6_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319592589","9783319592596"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59259-6_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}