{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:55:05Z","timestamp":1773968105986,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":38,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811072208","type":"print"},{"value":"9789811072215","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-981-10-7221-5_11","type":"book-chapter","created":{"date-parts":[[2018,6,15]],"date-time":"2018-06-15T18:14:36Z","timestamp":1529086476000},"page":"209-239","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Nrityamanthan: Unravelling the Intent of the Dancer Using Deep Learning"],"prefix":"10.1007","author":[{"given":"Aparna","family":"Mohanty","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kankana","family":"Roy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajiv R.","family":"Sahay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,16]]},"reference":[{"issue":"1","key":"11_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2307\/1124019","volume":"5","author":"A Meduri","year":"1988","unstructured":"Meduri, A.: Bharatha natyam-what are you? Asian Theatre J. 5(1), 1\u201322 (1988)","journal-title":"Asian Theatre J."},{"key":"11_CR2","unstructured":"Mohanty, A., Duttagupta, A., Sahay, R.R.: Hand gesture recognition to understand indian classical dance videos. In: Accepted in Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (2016)"},{"key":"11_CR3","first-page":"529","volume":"47","author":"Aparna Mohanty","year":"2016","unstructured":"Mohanty, A., Vaishnavi, P., Jana, P., Majumdar, A., Ahmed, A., Goswami, T., Sahay, R.R.: Nrityabodha: towards understanding Indian classical dance using a deep learning approach. Signal Process.: Image Commun. 47, 529\u2013548 (2016)","journal-title":"Signal Processing: Image Communication"},{"issue":"3","key":"11_CR4","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1023\/A:1007614523901","volume":"37","author":"RE Schapire","year":"1999","unstructured":"Schapire, R.E., Singer, Y.: Improved boosting algorithms using confidence-rated predictions. Mach. Learn. 37(3), 297\u2013336 (1999)","journal-title":"Mach. Learn."},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"11_CR6","unstructured":"Gupt, B.: Dramatic Concepts Greek and Indian: A Study of the Poetics and the Natyasastra. DK Printworld (1994)"},{"key":"11_CR7","volume-title":"Odissi, What, Why and How-: Evolution","author":"M Raut","year":"2007","unstructured":"Raut, M.: Odissi, What, Why and How-: Evolution. Revival and Technique, BR Rhythms (2007)"},{"key":"11_CR8","first-page":"449","volume-title":"Advances in Intelligent Systems and Computing","author":"Aparna Mohanty","year":"2016","unstructured":"Mohanty, A., Rambhatla, S.S., Sahay, R.R.: Deep gesture: static hand gesture recognition using CNN. In: Proceedings of International Conference on Computer Vision and Image Processing, pp. 449\u2013461 (2017)"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Mittal, A., Zisserman, A., Torr, P.H.: Hand detection using multiple proposals. In: Proceedings of British Machine Vision Conference, pp. 1\u201311 (2011)","DOI":"10.5244\/C.25.75"},{"issue":"3","key":"11_CR10","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/s11263-012-0560-5","volume":"101","author":"PK Pisharady","year":"2013","unstructured":"Pisharady, P.K., Vadakkepat, P., Loh, A.P.: Attention based detection and recognition of hand postures against complex backgrounds. Int. J. Comput. Vis. 101(3), 403\u2013419 (2013)","journal-title":"Int. J. Comput. Vis."},{"key":"11_CR11","unstructured":"Kurakin, A., Zhang, Z., Liu, Z.: A real time system for dynamic hand gesture recognition with a depth sensor. In: Proceedings of the 20th IEEE European Signal Processing Conference, pp. 1975\u20131979 (2012)"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Shin, S., Sung, W.: Dynamic hand gesture recognition for wearable devices with low complexity recurrent neural networks. In: IEEE International Symposium on Circuits and Systems, pp. 2274\u20132277 (2016)","DOI":"10.1109\/ISCAS.2016.7539037"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Oikonomidis, I., Kyriazis, N., Argyros, A.A.: Efficient model-based 3D tracking of hand articulations using kinect. In: Proceedings of British Machine Vision Conference, vol. 1, p. 3 (2011)","DOI":"10.5244\/C.25.101"},{"issue":"5","key":"11_CR14","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1145\/2629500","volume":"33","author":"J Tompson","year":"2014","unstructured":"Tompson, J., Stein, M., Lecun, Y., Perlin, K.: Real-time continuous pose recovery of human hands using convolutional networks. ACM Trans. Graph. 33(5), 169 (2014)","journal-title":"ACM Trans. Graph."},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Sridhar, S., Mueller, F., Oulasvirta, A., Theobalt, C.: Fast and robust hand tracking using detection-guided optimization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3213\u20133221 (2015)","DOI":"10.1109\/CVPR.2015.7298941"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Yamato, J., Ohya, J., Ishii, K.: Recognizing human action in time-sequential images using hidden Markov model. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 379\u2013385 (1992)","DOI":"10.1109\/CVPR.1992.223161"},{"issue":"2","key":"11_CR17","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1109\/5.18626","volume":"77","author":"LR Rabiner","year":"1989","unstructured":"Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE 77(2), 257\u2013286 (1989)","journal-title":"Proc. IEEE"},{"key":"11_CR18","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/978-1-4615-1423-7_3","volume-title":"Face Detection and Gesture Recognition for Human-Computer Interaction","author":"Ming-Hsuan Yang","year":"2001","unstructured":"Yang, M.H., Ahuja, N.: Recognizing hand gestures using motion trajectories. In: Proceedings of Face Detection and Gesture Recognition for Human-Computer Interaction, pp. 53\u201381 (2001)"},{"key":"11_CR19","unstructured":"Hong, P., Turk, M., Huang, T.S.: Gesture modeling and recognition using finite state machines. In: Proceedings of Fourth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 410\u2013415 (2000)"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Henia, O.B., Bouakaz, S.: A new depth-based function for 3D hand motion tracking. In: International Conference on Computer Vision Theory and Applications, pp. 653\u2013658 (2011)","DOI":"10.5220\/0003378106530658"},{"key":"11_CR21","doi-asserted-by":"crossref","unstructured":"Van\u00a0den Bergh, M., Van\u00a0Gool, L.: Combining RGB and ToF cameras for real-time 3D hand gesture interaction. In: IEEE Workshop on Applications of Computer Vision, pp. 66\u201372 (2011)","DOI":"10.1109\/WACV.2011.5711485"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Suryanarayan, P., Subramanian, A., Mandalapu, D.: Dynamic hand pose recognition using depth data. In: Proceedings of 20th IEEE International Conference on Pattern Recognition, pp. 3105\u20133108 (2010)","DOI":"10.1109\/ICPR.2010.760"},{"issue":"3\u20134","key":"11_CR23","first-page":"334","volume":"5","author":"E Kollorz","year":"2008","unstructured":"Kollorz, E., Penne, J., Hornegger, J., Barke, A.: Gesture recognition with a time-of-flight camera. Int. J. Intell. Syst. Technol. Appl. 5(3\u20134), 334\u2013343 (2008)","journal-title":"Int. J. Intell. Syst. Technol. Appl."},{"key":"11_CR24","doi-asserted-by":"crossref","unstructured":"Erdem, C., Ulukaya, S., Karaali, A., Erdem, A.T.: Combining Haar feature and skin color based classifiers for face detection. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1497\u20131500 (2011)","DOI":"10.1109\/ICASSP.2011.5946777"},{"key":"11_CR25","doi-asserted-by":"crossref","unstructured":"Nalepa, J., Grzejszczak, T., Kawulok, M.: Wrist localization in color images for hand gesture recognition. In: Man-Machine Interactions 3, pp. 79\u201386. Springer International Publishing (2014)","DOI":"10.1007\/978-3-319-02309-0_8"},{"key":"11_CR26","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/978-3-642-10520-3_28","volume-title":"Advances in Visual Computing","author":"Julian St\u00f6ttinger","year":"2009","unstructured":"St\u00f6ttinger, J., Hanbury, A., Liensberger, C., Khan, R.: Skin paths for contextual flagging adult videos. In: Proceedings Part II of 5th International Symposium on Advances in Visual Computing, pp. 303\u2013314. Springer (2009)"},{"issue":"1","key":"11_CR27","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10846-006-9100-2","volume":"48","author":"CS Chan","year":"2007","unstructured":"Chan, C.S., Liu, H., Brown, D.J.: Recognition of human motion from qualitative normalised templates. J. Intell. Robot. Syst. 48(1), 79\u201395 (2007)","journal-title":"J. Intell. Robot. Syst."},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Gunes, H., Piccardi, M.: Head detection for video surveillance based on categorical hair and skin colour models. In: 16th IEEE International Conference on Image Processing, pp. 1137\u20131140 (2009)","DOI":"10.1109\/ICIP.2009.5413535"},{"key":"11_CR29","first-page":"85","volume":"3","author":"V Vezhnevets","year":"2003","unstructured":"Vezhnevets, V., Sazonov, V., Andreeva, A.: A survey on pixel-based skin color detection techniques. Proceeding Graphicon 3, 85\u201392 (2003)","journal-title":"Proceeding Graphicon"},{"key":"11_CR30","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255 (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"11_CR31","unstructured":"Everingham, M., Van\u00a0Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results. http:\/\/www.pascal-network.org\/challenges\/VOC\/voc2012\/workshop\/index.html"},{"issue":"11","key":"11_CR32","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"11_CR33","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"key":"11_CR34","first-page":"97","volume":"2","author":"Y LeCun","year":"2004","unstructured":"LeCun, Y., Huang, F.J., Bottou, L.: Learning methods for generic object recognition with invariance to pose and lighting. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2, 97\u2013104 (2004)","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"issue":"1","key":"11_CR35","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR36","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images (2009)"},{"key":"11_CR37","doi-asserted-by":"crossref","unstructured":"Vedaldi, A., Lenc, K.: MatConvNet: convolutional neural networks for MATLAB. In: Proceedings of the 23rd ACM International Conference on Multimedia, pp. 689\u2013692 (2015)","DOI":"10.1145\/2733373.2807412"},{"issue":"2","key":"11_CR38","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Comput. Vis."}],"container-title":["Heritage Preservation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-7221-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T04:30:11Z","timestamp":1751689811000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-7221-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811072208","9789811072215"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-7221-5_11","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}