{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:20:21Z","timestamp":1725906021433},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319646978"},{"type":"electronic","value":"9783319646985"}],"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\/978-3-319-64698-5_21","type":"book-chapter","created":{"date-parts":[[2017,7,26]],"date-time":"2017-07-26T23:34:45Z","timestamp":1501112085000},"page":"241-252","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Human Pose Estimation via Cascaded Neural Networks Embedded with Multi-task Learning"],"prefix":"10.1007","author":[{"given":"Satoshi","family":"Tanabe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryosuke","family":"Yamanaka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mitsuru","family":"Tomono","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Makiko","family":"Ito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teruo","family":"Ishihara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,28]]},"reference":[{"key":"21_CR1","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: NIPS (2012)"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Toshev, A., Szegedy, C.: DeepPose: human pose estimation via deep neural networks. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.214"},{"key":"21_CR3","unstructured":"Tompson, J., Jain, A., LeCun, Y., Bregler, C.: Joint training of a convolutional network and a graphical model for human pose estimation. In: NIPS (2014)"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Tompson, J., Goroshin, R., Jain, A., LeCun, Y., Bregler, C.: Efficient object localization using convolutional networks. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298664"},{"key":"21_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1007\/978-3-319-16808-1_21","volume-title":"Computer Vision \u2013 ACCV 2014","author":"A Jain","year":"2015","unstructured":"Jain, A., Tompson, J., LeCun, Y., Bregler, C.: MoDeep: a deep learning framework using motion features for human pose estimation. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9004, pp. 302\u2013315. Springer, Cham (2015). doi: 10.1007\/978-3-319-16808-1_21"},{"key":"21_CR6","unstructured":"Jain, A., Tompson, J., Andriluka, M., Taylor, G.W., Bregler, C.: Learning human pose estimation features with convolutional networks. In: ICLR (2014)"},{"key":"21_CR7","unstructured":"Fan, X., Zheng, K., Lin, Y., Wang, S.: Combining local appearance and holistic view: dual-source deep neural networks for human pose estimation. In: CVPR (2015)"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Chu, X., Ouyang, W., Li, H., Wang, X.: Structured feature learning for pose estimation. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.510"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Chen, X., Yuille, A.: Parsing occluded people by flexible compositions. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7299020"},{"key":"21_CR10","unstructured":"Chen, X., Yuille, A.L.: Articulated pose estimation by a graphical model with image dependent pairwise relations. In: NIPS (2014)"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Johnson, S., Everingham, M.: Clustered pose and nonlinear appearance models for human pose estimation. In: BMVC (2010)","DOI":"10.5244\/C.24.12"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Yang, W., et al.: End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.335"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Wang, K., et al.: Human pose estimation from depth images via inference embedded multi-task learning. In: Multimedia Conference (2016)","DOI":"10.1145\/2964284.2964322"},{"key":"21_CR14","unstructured":"Ren, S., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2016)"},{"key":"21_CR15","doi-asserted-by":"crossref","unstructured":"Long, J., et al.: Fully convolutional networks for semantic segmentation. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"21_CR16","unstructured":"Han, X., et al.: MatchNet: unifying feature and metric learning for patch-based matching. In: CVPR (2015)"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Jaderberg, M., et al.: Speeding up convolutional neural networks with low rank expansions. BMVA Press (2014)","DOI":"10.5244\/C.28.88"},{"key":"21_CR18","unstructured":"Simonyan, K., et al.: Very deep convolutional networks for large-scale image recognition. In: ICLR (2015)"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Peng, X., et al.: Learning deep object detectors from 3D models. In: CVPR (2015)","DOI":"10.1109\/ICCV.2015.151"},{"key":"21_CR20","unstructured":"Sonoda, S., et al.: Neural network with unbounded activation functions is universal approximator. In: Applied and Computational Harmonic Analysis (2015)"},{"key":"21_CR21","volume-title":"Pattern Recognition and Machine Learning. Information Science and Statistics","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Information Science and Statistics, 2nd edn. Springer, New York (2006)","edition":"2"},{"key":"21_CR22","unstructured":"Reyes, A., Caicedo, J., Camargo, J.: Fine-tuning Deep Convolutional Networks for Plant Recognition. In: Proceedings of CEUR Workshop, CLEF (Working Notes), vol. 1391 (2015). CEUR-WS.org"},{"key":"21_CR23","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: CVPR (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"21_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1007\/978-3-642-37331-2_11","volume-title":"Computer Vision \u2013 ACCV 2012","author":"M Eichner","year":"2013","unstructured":"Eichner, M., Ferrari, V.: Appearance sharing for collective human pose estimation. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012. LNCS, vol. 7724, pp. 138\u2013151. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-37331-2_11"},{"key":"21_CR25","doi-asserted-by":"crossref","unstructured":"Johnson, S., et al.: Learning effective human pose estimation from inaccurate annotation. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995318"},{"key":"21_CR26","unstructured":"Courbariaux, M., et al.: BinaryConnect: training deep neural networks with binary weights during propagations. In: NIPS (2015)"},{"key":"21_CR27","unstructured":"Kingma, D.P., et al.: Adam: a method for stochastic optimization. In: ICLR (2015)"},{"key":"21_CR28","unstructured":"Website of MakeHuman. http:\/\/www.makehuman.org\/ . Accessed 18 Apr 2017"},{"key":"21_CR29","unstructured":"Website of Blender. https:\/\/www.blender.org . Accessed 18 Apr 2017"},{"key":"21_CR30","unstructured":"Website of motion capture database. http:\/\/mocap.cs.cmu.edu\/ . Accessed 18 Apr 2017"},{"key":"21_CR31","unstructured":"Website of Chainer. http:\/\/chainer.org\/ . Accessed 18 Apr 2017"},{"key":"21_CR32","unstructured":"Website of Model Zoo. https:\/\/github.com\/BVLC\/caffe\/wiki\/Model-Zoo . Accessed 18 Apr 2017"},{"key":"21_CR33","unstructured":"Benjamin, S., et al.: MODEC: multimodal decomposable models for human pose estimation. In: CVPR (2013)"},{"key":"21_CR34","doi-asserted-by":"crossref","unstructured":"Andriluka, M., et al.: 2D human pose estimation: new benchmark and state of the art analysis. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.471"}],"container-title":["Lecture Notes in Computer Science","Computer Analysis of Images and Patterns"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-64698-5_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T13:25:55Z","timestamp":1569936355000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-64698-5_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319646978","9783319646985"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-64698-5_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}