{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:32:20Z","timestamp":1774881140366,"version":"3.50.1"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030519704","type":"print"},{"value":"9783030519711","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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\/978-3-030-51971-1_47","type":"book-chapter","created":{"date-parts":[[2020,8,8]],"date-time":"2020-08-08T17:03:00Z","timestamp":1596906180000},"page":"573-585","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Human Pose Estimation Applying ANN While RGB-D Cameras Video Handling"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5192-8835","authenticated-orcid":false,"given":"Iakov","family":"Korovin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2221-0231","authenticated-orcid":false,"given":"Donat","family":"Ivanov","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,9]]},"reference":[{"key":"47_CR1","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.cviu.2006.10.016","volume":"108","author":"R Poppe","year":"2007","unstructured":"Poppe, R.: Vision-based human motion analysis: an overview. Comput. Vis. Image Underst. 108, 4\u201318 (2007)","journal-title":"Comput. Vis. Image Underst."},{"key":"47_CR2","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1016\/j.patcog.2017.12.007","volume":"76","author":"F Patrona","year":"2018","unstructured":"Patrona, F., Chatzitofis, A., Zarpalas, D., Daras, P.: Motion analysis: action detection, recognition and evaluation based on motion capture data. Pattern Recognit. 76, 612\u2013622 (2018)","journal-title":"Pattern Recognit."},{"key":"47_CR3","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.3390\/s19051005","volume":"19","author":"H-B Zhang","year":"2019","unstructured":"Zhang, H.-B., Zhang, Y.-X., Zhong, B., Lei, Q., Yang, L., Du, J.-X., Chen, D.-S.: A comprehensive survey of vision-based human action recognition methods. Sensors 19, 1005 (2019)","journal-title":"Sensors"},{"key":"47_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1145\/1922649.1922653","volume":"43","author":"JK Aggarwal","year":"2011","unstructured":"Aggarwal, J.K., Ryoo, M.S.: Human activity analysis: a review. ACM Comput. Surv. 43, 16 (2011)","journal-title":"ACM Comput. Surv."},{"key":"47_CR5","doi-asserted-by":"publisher","first-page":"2329","DOI":"10.1016\/j.patcog.2015.03.006","volume":"48","author":"M Ziaeefard","year":"2015","unstructured":"Ziaeefard, M., Bergevin, R.: Semantic human activity recognition: a literature review. Pattern Recognit. 48, 2329\u20132345 (2015)","journal-title":"Pattern Recognit."},{"key":"47_CR6","doi-asserted-by":"crossref","unstructured":"Papadopoulos, G.T., Axenopoulos, A., Daras, P.: Real-time skeleton-tracking-based human action recognition using kinect data. In: International Conference on Multimedia Modeling, pp. 473\u2013483 (2014)","DOI":"10.1007\/978-3-319-04114-8_40"},{"key":"47_CR7","doi-asserted-by":"crossref","unstructured":"Presti, L.L., La Cascia, M.: 3D skeleton-based human action classification: a survey. Pattern Recognit. 53, 130\u2013147 (2016)","DOI":"10.1016\/j.patcog.2015.11.019"},{"key":"47_CR8","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/s11263-008-0173-1","volume":"87","author":"J Gall","year":"2010","unstructured":"Gall, J., Rosenhahn, B., Brox, T., Seidel, H.-P.: Optimization and filtering for human motion capture. Int. J. Comput. Vis. 87, 75 (2010)","journal-title":"Int. J. Comput. Vis."},{"key":"47_CR9","doi-asserted-by":"crossref","unstructured":"Hofmann, M., Gavrila, D.M.: Multi-view 3D human pose estimation combining single-frame recovery, temporal integration and model adaptation. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2214\u20132221 (2009)","DOI":"10.1109\/CVPR.2009.5206508"},{"key":"47_CR10","unstructured":"Guan, P., Weiss, A., Balan, A.O., Black, M.J.: Estimating human shape and pose from a single image. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 1381\u20131388 (2009)"},{"key":"47_CR11","doi-asserted-by":"crossref","unstructured":"Hen, Y.W., Paramesran, R.: Single camera 3D human pose estimation: a review of current techniques. In: 2009 International Conference for Technical Postgraduates (TECHPOS), pp. 1\u20138 (2009)","DOI":"10.1109\/TECHPOS.2009.5412094"},{"key":"47_CR12","doi-asserted-by":"crossref","unstructured":"Hirai, M., Ukita, N., Kidode, M.: Real-time pose regression with fast volume descriptor computation. In: 2010 20th International Conference on Pattern Recognition, pp. 1852\u20131855 (2010)","DOI":"10.1109\/ICPR.2010.457"},{"key":"47_CR13","doi-asserted-by":"crossref","unstructured":"Luo, X., Berendsen, B., Tan, R.T., Veltkamp, R.C.: Human pose estimation for multiple persons based on volume reconstruction. In: 2010 20th International Conference on Pattern Recognition, pp. 3591\u20133594 (2010)","DOI":"10.1109\/ICPR.2010.876"},{"key":"47_CR14","unstructured":"Tran, C., Trivedi, M.M.: Human body modelling and tracking using volumetric representation: Selected recent studies and possibilities for extensions. In: 2008 Second ACM\/IEEE International Conference on Distributed Smart Cameras, pp. 1\u20139 (2008)"},{"key":"47_CR15","doi-asserted-by":"crossref","unstructured":"Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: CVPR 2011, pp. 1297\u20131304 (2011)","DOI":"10.1109\/CVPR.2011.5995316"},{"issue":"3","key":"47_CR16","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/s00371-015-1066-2","volume":"32","author":"D Das\u00a0Dawn","year":"2015","unstructured":"Das\u00a0Dawn, D., Shaikh, S.H.: A comprehensive survey of human action recognition with spatio-temporal interest point (STIP) detector. The Visual Computer 32(3), 289\u2013306 (2015). https:\/\/doi.org\/10.1007\/s00371-015-1066-2","journal-title":"The Visual Computer"},{"key":"47_CR17","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1109\/TCYB.2016.2582918","volume":"47","author":"A-A Liu","year":"2016","unstructured":"Liu, A.-A., Xu, N., Nie, W.-Z., Su, Y.-T., Wong, Y., Kankanhalli, M.: Benchmarking a multimodal and multiview and interactive dataset for human action recognition. IEEE Trans. Cybern. 47, 1781\u20131794 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"47_CR18","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/TPAMI.2016.2537337","volume":"39","author":"A-A Liu","year":"2016","unstructured":"Liu, A.-A., Su, Y.-T., Nie, W.-Z., Kankanhalli, M.: Hierarchical clustering multi-task learning for joint human action grouping and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39, 102\u2013114 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"47_CR19","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.neucom.2016.01.113","volume":"215","author":"Z Gao","year":"2016","unstructured":"Gao, Z., Zhang, Y., Zhang, H., Xue, Y.B., Xu, G.P.: Multi-dimensional human action recognition model based on image set and group sparisty. Neurocomputing 215, 138\u2013149 (2016)","journal-title":"Neurocomputing"},{"key":"47_CR20","doi-asserted-by":"crossref","unstructured":"Fernando, B., Gavves, E., Oramas, J.M., Ghodrati, A., Tuytelaars, T.: Modeling video evolution for action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5378\u20135387 (2015)","DOI":"10.1109\/CVPR.2015.7299176"},{"key":"47_CR21","doi-asserted-by":"crossref","unstructured":"Yang, X., Tian, Y.: Super normal vector for activity recognition using depth sequences. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 804\u2013811 (2014)","DOI":"10.1109\/CVPR.2014.108"},{"key":"47_CR22","doi-asserted-by":"crossref","unstructured":"Li, M., Leung, H., Shum, H.P.H.: Human action recognition via skeletal and depth based feature fusion. In: Proceedings of the 9th International Conference on Motion in Games, pp. 123\u2013132 (2016)","DOI":"10.1145\/2994258.2994268"},{"issue":"1","key":"47_CR23","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s11554-013-0370-1","volume":"12","author":"C Chen","year":"2013","unstructured":"Chen, C., Liu, K., Kehtarnavaz, N.: Real-time human action recognition based on depth motion maps. Journal of Real-Time Image Process. 12(1), 155\u2013163 (2013). https:\/\/doi.org\/10.1007\/s11554-013-0370-1","journal-title":"Journal of Real-Time Image Process."},{"key":"47_CR24","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.patcog.2016.05.019","volume":"60","author":"J Zhang","year":"2016","unstructured":"Zhang, J., Li, W., Ogunbona, P.O., Wang, P., Tang, C.: RGB-D-based action recognition datasets: a survey. Pattern Recognit. 60, 86\u2013105 (2016)","journal-title":"Pattern Recognit."},{"key":"47_CR25","doi-asserted-by":"crossref","unstructured":"Liu, J., Shahroudy, A., Xu, D., Wang, G.: Spatio-temporal LSTM with trust gates for 3D human action recognition. In: European Conference on Computer Vision, pp. 816\u2013833 (2016)","DOI":"10.1007\/978-3-319-46487-9_50"},{"key":"47_CR26","doi-asserted-by":"crossref","unstructured":"Oreifej, O., Liu, Z.: HON4D: histogram of oriented 4D normals for activity recognition from depth sequences. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 716\u2013723 (2013)","DOI":"10.1109\/CVPR.2013.98"},{"key":"47_CR27","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.jvcir.2013.03.001","volume":"25","author":"X Yang","year":"2014","unstructured":"Yang, X., Tian, Y.: Effective 3D action recognition using eigenjoints. J. Vis. Commun. Image Represent. 25, 2\u201311 (2014)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"47_CR28","doi-asserted-by":"crossref","unstructured":"Korovin, I., Khisamutdinov, M., Ivanov, D.: Improvement of a video sequence singular image. In: Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, pp. 12\u201315 (2018)","DOI":"10.1145\/3292448.3292454"},{"key":"47_CR29","doi-asserted-by":"crossref","unstructured":"Korovin, I., Khisamutdinov, M., Ivanov, D.: A basic algorithm of a target environment analyzer. In: Proceedings of the 2nd International Conference on Advances in Artificial Intelligence, pp. 7\u201311 (2018)","DOI":"10.1145\/3292448.3292453"},{"key":"47_CR30","unstructured":"Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al.: Tensorflow: a system for large-scale machine learning. In: 12th Symposium on Operating Systems Design and Implementation 2016, pp. 265\u2013283 (2016)"},{"key":"47_CR31","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.cels.2016.01.009","volume":"2","author":"L Rampasek","year":"2016","unstructured":"Rampasek, L., Goldenberg, A.: Tensorflow: biology\u2019s gateway to deep learning? Cell Syst. 2, 12\u201314 (2016)","journal-title":"Cell Syst."},{"key":"47_CR32","unstructured":"Tsai, R.Y.: An efficient and accurate camera calibration technique for 3D machine vision. Proc. Comp. Vis. Patt. Recog. 364\u2013374 (1986)"},{"key":"47_CR33","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.1109\/34.888718","volume":"22","author":"Z Zhang","year":"2000","unstructured":"Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330\u20131334 (2000)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Advances in Intelligent Systems and Computing","Artificial Intelligence and Bioinspired Computational Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-51971-1_47","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T19:38:16Z","timestamp":1618256296000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-51971-1_47"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030519704","9783030519711"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-51971-1_47","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"9 August 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSOC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Science On-line Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zlin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csolc2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/csoc.openpublish.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}