{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:51:50Z","timestamp":1761648710730,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":28,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811506369"},{"type":"electronic","value":"9789811506376"}],"license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-0637-6_28","type":"book-chapter","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T12:09:32Z","timestamp":1575288572000},"page":"333-341","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["MHAD: Multi-Human Action Dataset"],"prefix":"10.1007","author":[{"given":"Omar","family":"Elharrouss","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noor","family":"Almaadeed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Somaya","family":"Al-Maadeed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,1]]},"reference":[{"key":"28_CR1","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3389\/frobt.2015.00028","volume":"2","author":"M Vrigkas","year":"2015","unstructured":"M. Vrigkas, C. Nikou, I.A. Kakadiaris, A review of human activity recognition methods. Front. Robot. AI 2, 28 (2015)","journal-title":"Front. Robot. AI"},{"issue":"4","key":"28_CR2","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1145\/3158645","volume":"51","author":"ZS Abdallah","year":"2018","unstructured":"Z.S. Abdallah, M.M. Gaber, B. Srinivasan et al., Activity recognition with evolving data streams: A review. ACM Comput. Surv. (CSUR) 51(4), 71 (2018)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"C. Schuldt, I. Laptev, B. Caputo, Recognizing human actions: a local SVM approach, in Proceedings International Conference on Pattern Recognition (Cambridge, 2004), pp. 32\u201336","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"M. Blank, L. Gorelick, E. Shechtman, M. Irani, R. Basri, Actions as space-time shapes, in Proceedings IEEE International Conference on Computer Vision (Beijing, 2005), pp. 1395\u20131402","DOI":"10.1109\/ICCV.2005.28"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"D. Weinland, E. Boyer, R. Ronfard, Action recognition from arbitrary views using 3D exemplars (ICCV, 2007)","DOI":"10.1109\/ICCV.2007.4408849"},{"key":"28_CR6","unstructured":"A. Nagendran et al., New system performs persistent wide-area aerial surveillance. \nhttp:\/\/spie.org\/x41092.xml?ArticleID=x41092"},{"key":"28_CR7","unstructured":"R.B. Fisher, PETS04 Surveillance Ground Truth Dataset (2004). Available at \nhttp:\/\/www-prima.inrialpes.fr\/PETS04\/"},{"key":"28_CR8","unstructured":"R. B. Fisher, Behave: Computer-assisted prescreening of video streams for unusual activities (2007). Available at \nhttp:\/\/homepages.inf.ed.ac.uk\/rbf\/BEHAVE\/"},{"key":"28_CR9","unstructured":"R.B. Fisher, PETS07 Benchmark Dataset (2007). Available at \nhttp:\/\/www.cvg.reading.ac.uk\/PETS2007\/data.html"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"I. Laptev, M. Marsza\u0142ek, C. Schmid, B. Rozenfeld, Learning realistic human actions from movies, in CVPR (2008)","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"M. Marsza\u0142ek, I. Laptev, C. Schmid, Actions in context, in CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206557"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"M. Rodriguez, J. Ahmed, M. Shah, Action mach: A spatiotemporal maximum average correlation height filter for action recognition, in CVPR (2008), \nhttp:\/\/server.cs.ucf.edu\/\u02dcvision\/data.html","DOI":"10.1109\/CVPR.2008.4587727"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"J. Liu, J. Luo, M. Shah, Recognizing realistic actions from videos \"in the wild\u201d, in CVPR (2009), \nhttp:\/\/serre-lab.clps.brown.edu\/resources\/HMDB\/","DOI":"10.1109\/CVPR.2009.5206744"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"H. Kuehne, H. Jhuang, E. Garrote, et al. HMDB: A large video database for human motion recognition, in 2011 IEEE International Conference on Computer Vision (ICCV) (IEEE, 2011), pp. 2556\u20132563","DOI":"10.1109\/ICCV.2011.6126543"},{"key":"28_CR15","doi-asserted-by":"crossref","unstructured":"F. C. Heilbron, V. Escorcia, B. Ghanem, J.C. Niebles, ActivityNet: A large-scale video benchmark for human activity understanding, in Proceedings IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Boston, MA, 2015), pp. 961\u2013970","DOI":"10.1109\/CVPR.2015.7298698"},{"key":"28_CR16","unstructured":"A. Karpathy, G. Toderici, S. Shetty, T. Leung, R. Sukthankar, F. Li, Large-scale video classification with convolutional neural networks, in Proceedings on 2014 Computer Vision Pattern Recognition (2014), pp. 1725\u20131732"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"H. Yang, C. Yuan, J. Xing, et al.,\u00a0Scnn: Sequential convolutional neural network for human action recognition in videos, in 2017 IEEE International Conference on Image Processing (ICIP) (IEEE, 2017), pp. 355\u2013359","DOI":"10.1109\/ICIP.2017.8296302"},{"key":"28_CR18","unstructured":"K. Simonyan, A. Zisserman, Two-stream convolutional networks for action recognition in videos, in Proceedings of Neural Information Processing System (2014), pp. 568\u2013576"},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"H. Rahmani, A. Mian, M. Shah, Learning a deep model for human action recognition from novel viewpoints.\u00a0IEEE Trans. Pattern Anal. Mach. Intell.\u00a040(3), 667\u2013681","DOI":"10.1109\/TPAMI.2017.2691768"},{"key":"28_CR20","unstructured":"C. Feichtenhofer, A. Pinz, A. Zisserman, Convolutional two-stream network fusion for video action recognition, in\u00a0Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition\u00a0(2016), pp. 1933\u20131941"},{"key":"28_CR21","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.cogsys.2018.04.002","volume":"50","author":"A Akula","year":"2018","unstructured":"C.B. Jin, S. Li, H. Kim, Real-time action detection in video surveillance using sub-action descriptor with multi-cnn. arXiv preprint (2017)\u00a0https:\/\/arxiv.org\/abs\/arXiv:1710.03383","journal-title":"Cogn. Syst. Res."},{"issue":"1","key":"28_CR22","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1049\/iet-cvi.2017.0136","volume":"12","author":"O Elharrouss","year":"2017","unstructured":"L. Wang, Y. Qiao, X. Tang,\u00a0Action recognition with trajectory-pooled deep-convolutional descriptors, in\u00a0CVPR, pp. 4305\u20134314 (2015)","journal-title":"IET Comput. Vis."},{"issue":"3","key":"28_CR23","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"A. Akula, A. K., Shah, R. Ghosh, Deep learning approach for human action recognition in infrared images. Cogn. Syst. Res. 50, 146\u2013154 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"28_CR24","doi-asserted-by":"crossref","unstructured":"O. Elharrouss, A. Abbad, D. Moujahid, H. Tairi, Moving object detection zone using a block-based background model.\u00a0IET Comput. Vis.\u00a012(1), 86\u201394 (2017)","DOI":"10.1049\/iet-cvi.2017.0136"},{"key":"28_CR25","doi-asserted-by":"crossref","unstructured":"J. F. Henriques, R. Caseiro, P. Martins et al., High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell.\u00a037(3), 583\u2013596 (2015)","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"28_CR26","doi-asserted-by":"crossref","unstructured":"O. Elharrouss, A. Abbad, D. Moujahid, J. Riffi, H. Tairi, A block-based background model for moving object detection.\u00a0ELCVIA: Electronic Letters on Computer Vision and Image Analysis.\u00a015(3), 0017\u201331 (2016)","DOI":"10.5565\/rev\/elcvia.855"},{"key":"28_CR27","doi-asserted-by":"crossref","unstructured":"O. ELHarrouss, D. Moujahid, S. E. Elkaitouni, H. Tairi, Moving objects detection based on thresholding operations for video surveillance systems, in 2015 IEEE\/ACS 12th International Conference of Computer Systems and Applications (AICCSA), pp. 1\u20135. IEEE (2015)","DOI":"10.1109\/AICCSA.2015.7507180"},{"key":"28_CR28","unstructured":"N. Almaadeed, O. Elharrouss, S. Al-Maadeed, A. Bouridane, A. Beghdadi, A novel approach for robust multi human action detection and recognition based on 3-Dimentional convolutional neural networks.\u00a0arXiv preprint (2019) https:\/\/arxiv.org\/abs\/1907.11272"}],"container-title":["Advances in Intelligent Systems and Computing","Fourth International Congress on Information and Communication Technology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-0637-6_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,3]],"date-time":"2020-04-03T05:06:51Z","timestamp":1585890411000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-0637-6_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,1]]},"ISBN":["9789811506369","9789811506376"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-0637-6_28","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,12,1]]},"assertion":[{"value":"1 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}