{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T20:30:40Z","timestamp":1767990640582,"version":"3.49.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319494081","type":"print"},{"value":"9783319494098","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-49409-8_5","type":"book-chapter","created":{"date-parts":[[2016,11,23]],"date-time":"2016-11-23T17:20:09Z","timestamp":1479921609000},"page":"32-39","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Human Pose Estimation in Space and Time Using 3D CNN"],"prefix":"10.1007","author":[{"given":"Agne","family":"Grinciunaite","sequence":"first","affiliation":[]},{"given":"Amogh","family":"Gudi","sequence":"additional","affiliation":[]},{"given":"Emrah","family":"Tasli","sequence":"additional","affiliation":[]},{"given":"Marten","family":"den Uyl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,24]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1037\/0033-295X.83.5.323","volume":"83","author":"MR Jones","year":"1976","unstructured":"Jones, M.R.: Time, our lost dimension: toward a new theory of perception, attention, and memory. Psychol. Rev. 83, 323\u2013355 (1976)","journal-title":"Psychol. Rev."},{"issue":"4","key":"5_CR2","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1037\/0033-295X.94.4.427","volume":"94","author":"JJ Freyd","year":"1987","unstructured":"Freyd, J.J.: Dynamic mental representations. Psychol. Rev. 94(4), 427 (1987)","journal-title":"Psychol. Rev."},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks. In: 2015 IEEE International Conference on Computer Vision (ICCV), pp. 4489\u20134497. IEEE (2015)","DOI":"10.1109\/ICCV.2015.510"},{"key":"5_CR4","unstructured":"Grinciunaite, A.: Development of a deep learning model for 3D human pose estimation in monocular videos. Master\u2019s thesis, Vilniaus Gedimino Technikos Universitetas (2016)"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Wang, C., Wang, Y., Lin, Z., Yuille, A., Gao, W.: Robust estimation of 3D human poses from a single image. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2361\u20132368 (2014)","DOI":"10.1109\/CVPR.2014.303"},{"key":"5_CR6","unstructured":"Oberweger, M., Wohlhart, P., Lepetit, V.: Hands deep in deep learning for hand pose estimation. arXiv preprint \n                      arXiv:1502.06807\n                      \n                     (2015)"},{"key":"5_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/978-3-319-16634-6_39","volume-title":"Computer Vision \u2013 accv 2014 workshops","author":"Y Du","year":"2015","unstructured":"Du, Y., Huang, Y., Peng, J.: Full-body human pose estimation from monocular video sequence via multi-dimensional boosting regression. In: Jawahar, C.V., Shan, S. (eds.) ACCV 2014. LNCS, vol. 9010, pp. 531\u2013544. Springer, Heidelberg (2015). doi:\n                      10.1007\/978-3-319-16634-6_39"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Toshev, A., Szegedy, C.: DeepPose: human pose estimation via deep neural networks. CoRR, abs\/1312.4659 (2013)","DOI":"10.1109\/CVPR.2014.214"},{"key":"5_CR9","unstructured":"Fan, X., Zheng, K., Lin, Y., Wang, S.: Combining local appearance, holistic view: dual-source deep neural networks for human pose estimation. CoRR, abs\/1504.07159 (2015)"},{"issue":"8","key":"5_CR10","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1109\/TPAMI.2016.2526002","volume":"38","author":"Feng Zhou","year":"2016","unstructured":"Zhou, F., De la Torre, F.: Spatio-temporal matching for human pose estimation in video (2016)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Zhou, X., Zhu, M., Leonardos, S., Derpanis, K., Daniilidis, K.: Sparseness meets deepness: 3D human pose estimation from monocular video. arXiv preprint 2015. \n                      arXiv:1511.09439","DOI":"10.1109\/CVPR.2016.537"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Tompson, J., Goroshin, R., Jain, A., LeCun, Y., Bregler, C.: Efficient object localization using convolutional networks. CoRR, abs\/1411.4280 (2014)","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"5_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1007\/978-3-319-16865-4_35","volume-title":"Computer Vision \u2013 ACCV 2014","author":"T Pfister","year":"2015","unstructured":"Pfister, T., Simonyan, K., Charles, J., Zisserman, A.: Deep convolutional neural networks for efficient pose estimation in gesture videos. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9003, pp. 538\u2013552. Springer, Heidelberg (2015). doi:\n                      10.1007\/978-3-319-16865-4_35"},{"issue":"1","key":"5_CR14","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","volume":"35","author":"S Ji","year":"2013","unstructured":"Ji, S., Wei, X., Yang, M., Kai, Y.: 3D convolutional neural networks for human action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 221\u2013231 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR15","unstructured":"Tekin, B., Sun, X., Wang, X., Lepetit, V., Fua, P.: Predicting people\u2019s 3D poses from short sequences. arXiv preprint \n                      arXiv:1504.08200\n                      \n                     (2015)"},{"key":"5_CR16","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1109\/TPAMI.2013.248","volume":"36","author":"C Ionescu","year":"2014","unstructured":"Ionescu, C., Papava, D., Olaru, V., Sminchisescu, C.: Human3.6M: large scale datasets and predictive methods for 3D human sensing in natural environments. IEEE Trans. Pattern Anal. Mach. Intell. 36, 1325\u20131329 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving Deep into Rectifiers: Surpassing Human-Level performance on ImageNet classification. CoRR, abs\/1502.01852 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"issue":"1","key":"5_CR18","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/S0893-6080(98)00116-6","volume":"12","author":"N Qian","year":"1999","unstructured":"Qian, N.: On the momentum term in gradient descent learning algorithms. Neural Netw. 12(1), 145\u2013151 (1999)","journal-title":"Neural Netw."},{"key":"5_CR19","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: International Conference on Artificial Intelligence and Statistics, pp. 249\u2013256 (2010)"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016 Workshops"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-49409-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T01:22:51Z","timestamp":1602292971000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-49409-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319494081","9783319494098"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-49409-8_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"24 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}