乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T17:50:03Z","timestamp":1726422603071},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T00:00:00Z","timestamp":1574208000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T00:00:00Z","timestamp":1574208000000},"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":["Multimedia Systems"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s00530-019-00641-9","type":"journal-article","created":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T03:03:21Z","timestamp":1574219001000},"page":"249-266","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Reconstruction of occluded ROI in multi-person gait based on numerical methods"],"prefix":"10.1007","volume":"26","author":[{"given":"Jasvinder Pal","family":"Singh","sequence":"first","affiliation":[]},{"given":"Sanjeev","family":"Jain","sequence":"additional","affiliation":[]},{"given":"Sakshi","family":"Arora","sequence":"additional","affiliation":[]},{"given":"Uday Pratap","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,20]]},"reference":[{"issue":"9","key":"641_CR1","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1109\/tip.2004.832865","volume":"13","author":"A Kale","year":"2004","unstructured":"Kale, A., Sundaresan, A., Rajagopalan, A.N.: Identification of humans using gait. IEEE Trans. Image Process. 13(9), 1163\u20131173 (2004). https:\/\/doi.org\/10.1109\/tip.2004.832865","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"641_CR2","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.1007\/s11042-013-1574-x","volume":"72","author":"TKM Lee","year":"2014","unstructured":"Lee, T.K.M., Belkhatir, M., Sanei, S.: A comprehensive review of past and present vision-based techniques for gait recognition. Multimed. Tools Appl. 72(3), 2833\u20132869 (2014). https:\/\/doi.org\/10.1007\/s11042-013-1574-x","journal-title":"Multimed. Tools Appl."},{"issue":"9","key":"641_CR3","doi-asserted-by":"publisher","first-page":"1120","DOI":"10.1109\/TIP.2003.815251","volume":"12","author":"Liang Wang","year":"2003","unstructured":"Wang, Liang, Tan, Tieniu, Weiming, Hu, Ning, Huazhong: Automatic gait recognition based on statistical shape analysis. IEEE Trans. Image Process. 12(9), 1120\u20131131 (2003). https:\/\/doi.org\/10.1109\/TIP.2003.815251","journal-title":"IEEE Trans. Image Process."},{"key":"641_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/jproc.2006.886018","author":"MS Nixon","year":"2006","unstructured":"Nixon, M.S., Carter, J.N.: Automatic recognition by gait. Proc. IEEE (2006). https:\/\/doi.org\/10.1109\/jproc.2006.886018","journal-title":"Proc. IEEE"},{"issue":"2","key":"641_CR5","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/s12559-013-9221-4","volume":"6","author":"Wei Zeng","year":"2014","unstructured":"Zeng, Wei, Wang, Cong, Li, Yuanqing: Model-based human gait recognition via deterministic learning. Cognit. Comput. 6(2), 218\u2013229 (2014). https:\/\/doi.org\/10.1007\/s12559-013-9221-4","journal-title":"Cognit. Comput."},{"key":"641_CR6","doi-asserted-by":"crossref","unstructured":"Yoo, J.-H., Hwang, D., Moon, K.-Y., Nixon, M.S.: Automated human recognition by gait using neural network. In: First Workshops on Image Processing Theory, Tools and Applications (IPTA), pp. 1\u20136 (2008)","DOI":"10.1109\/IPTA.2008.4743792"},{"issue":"2","key":"641_CR7","doi-asserted-by":"publisher","first-page":"259","DOI":"10.4218\/etrij.11.1510.0068","volume":"33","author":"Jang-Hee Yoo","year":"2011","unstructured":"Yoo, Jang-Hee, Nixon, Mark S.: Automated markerless analysis of human gait motion for recognition and classification. ETRI J. 33(2), 259\u2013266 (2011)","journal-title":"ETRI J."},{"key":"641_CR8","doi-asserted-by":"crossref","unstructured":"Bouchrika, I.: Parametric elliptic Fourier descriptors for automated extraction of gait features for people identification. In: 12th International Symposium on Programming and Systems (ISPS), pp. 1\u20137 (2015)","DOI":"10.1109\/ISPS.2015.7244988"},{"key":"641_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patrec.2016.05.009","volume":"80","author":"SD Choudhury","year":"2016","unstructured":"Choudhury, S.D., Tjahjadi, T.: Clothing and carrying condition invariant gait recognition based on rotation forest. Pattern Recognit. Lett. 80, 1\u20137 (2016). https:\/\/doi.org\/10.1016\/j.patrec.2016.05.009","journal-title":"Pattern Recognit. Lett."},{"issue":"2","key":"641_CR10","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/jas.2015.7081662","volume":"2","author":"S Jia","year":"2015","unstructured":"Jia, S., Wang, L., Li, X.: View-invariant gait authentication based on silhouette contours analysis and view estimation. IEEE\/CAA J. Autom. Sin. 2(2), 226\u2013232 (2015). https:\/\/doi.org\/10.1109\/jas.2015.7081662","journal-title":"IEEE\/CAA J. Autom. Sin."},{"issue":"4","key":"641_CR11","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1049\/iet-bmt.2017.0151","volume":"7","author":"Ning Ji","year":"2018","unstructured":"Ji, Ning, Sanchez, Victor, Li, Chang-Tsun: On view-invariant gait recognition: a feature selection solution. IET Biom. 7(4), 287\u2013295 (2018). https:\/\/doi.org\/10.1049\/iet-bmt.2017.0151","journal-title":"IET Biom."},{"key":"641_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s41315-018-0061-y","author":"H Sharma","year":"2018","unstructured":"Sharma, H., Grover, J.: Human identification based on gait recognition for multiple view angles. Int. J. Intell. Robot. Appl. (2018). https:\/\/doi.org\/10.1007\/s41315-018-0061-y","journal-title":"Int. J. Intell. Robot. Appl."},{"issue":"8","key":"641_CR13","doi-asserted-by":"publisher","first-page":"1380","DOI":"10.3390\/app8081380","volume":"8","author":"Xiang Li","year":"2018","unstructured":"Li, Xiang, Makihara, Yasushi, Chi, Xu, Muramatsu, Daigo, Yagi, Yasushi, Ren, Mingwu: Gait energy response functions for gait recognition against various clothing and carrying status. Appl. Sci. 8(8), 1380 (2018). https:\/\/doi.org\/10.3390\/app8081380","journal-title":"Appl. Sci."},{"key":"641_CR14","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.neucom.2017.02.006","volume":"239","author":"S Yu","year":"2017","unstructured":"Yu, S., Chen, H., Wang, Q., Shen, L., Huang, Y.: Invariant feature extraction for gait recognition using only one uniform model. Neurocomputing 239, 81\u201393 (2017). https:\/\/doi.org\/10.1016\/j.neucom.2017.02.006","journal-title":"Neurocomputing"},{"key":"641_CR15","unstructured":"Hofman, M., Sural, S., Rigoll, G.: Gait recognition in the presence of occlusion: a new dataset and baseline algorithms. In: Proceedings of the 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp. 99\u2013104 (2011)"},{"issue":"4","key":"641_CR16","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s11760-011-0245-5","volume":"5","author":"A Roy","year":"2011","unstructured":"Roy, A., Sural, S., Mukherjee, J., Rigoll, G.: Occlusion detection and gait silhouette reconstruction from degraded scenes. Signal Image Video Process. 5(4), 415\u2013430 (2011). https:\/\/doi.org\/10.1007\/s11760-011-0245-5","journal-title":"Signal Image Video Process."},{"issue":"4","key":"641_CR17","first-page":"1","volume":"10","author":"N Takemura","year":"2018","unstructured":"Takemura, N., Makihara, Y., Muramatsu, D., Echigo, T., Yagi, Y.: Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition. IPSJ Trans. Comput. Vis. Appl. 10(4), 1\u201314 (2018)","journal-title":"IPSJ Trans. Comput. Vis. Appl."},{"key":"641_CR18","unstructured":"Yu, S., Tan, D., Tan, T.: A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition. In: 18th International Conference on Pattern Recognition (ICPR), pp. 441\u2013444 (2006)"},{"issue":"2","key":"641_CR19","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1109\/TPAMI.2005.39","volume":"27","author":"S Sarkar","year":"2005","unstructured":"Sarkar, S., Phillips, P.J., Liu, Z., Vega, I.R., Grother, P., Bowyer, K.W.: The humanID gait challenge problem: data sets, performance, and analysis. IEEE Trans. Pattern Anal. Mach. Intell. 27(2), 162\u2013177 (2005). https:\/\/doi.org\/10.1109\/TPAMI.2005.39","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"641_CR20","doi-asserted-by":"publisher","first-page":"70497","DOI":"10.1109\/access.2018.2879896","volume":"6","author":"JP Singh","year":"2018","unstructured":"Singh, J.P., Jain, S., Arora, S., Singh, U.P.: Vision-based gait recognition: a survey. IEEE Access 6, 70497\u201370527 (2018). https:\/\/doi.org\/10.1109\/access.2018.2879896","journal-title":"IEEE Access"},{"issue":"7","key":"641_CR21","doi-asserted-by":"publisher","first-page":"1697","DOI":"10.1109\/tpami.2017.2726061","volume":"40","author":"X Chen","year":"2017","unstructured":"Chen, X., Weng, J., Lu, W., Xu, J.: Multi-gait recognition based on attribute discovery. IEEE Trans. Pattern Anal. Mach. Intell. 40(7), 1697\u20131710 (2017). https:\/\/doi.org\/10.1109\/tpami.2017.2726061","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"641_CR22","doi-asserted-by":"publisher","first-page":"1237","DOI":"10.1016\/j.engappai.2010.07.004","volume":"23","author":"Faezeh Tafazzoli","year":"2010","unstructured":"Tafazzoli, Faezeh, Safabakhsh, Reza: Model-based human gait recognition using leg and arm movements. Eng. Appl. Artif. Intell. 23(8), 1237\u20131246 (2010)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"641_CR23","doi-asserted-by":"publisher","DOI":"10.17632\/py4zw6g7xc.2","author":"JP Singh","year":"2019","unstructured":"Singh, J.P., Jain, S., Arora, S., Singh, U.P.: Dataset for human recognition under multi-gait scenario. Mendeley Data (2019). https:\/\/doi.org\/10.17632\/py4zw6g7xc.2","journal-title":"Mendeley Data"},{"key":"641_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-017-1066-y","author":"AO Lishani","year":"2017","unstructured":"Lishani, A.O., Boubchir, L., Khalifa, E., Bouridane, A.: Human gait recognition based on Haralick features. Signal Image Video Process. (2017). https:\/\/doi.org\/10.1007\/s11760-017-1066-y","journal-title":"Signal Image Video Process."},{"key":"641_CR25","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neucom.2016.01.002","volume":"191","author":"Anup Nandy","year":"2016","unstructured":"Nandy, Anup, Chakraborty, Rupak, Chakraborty, Pavan: Cloth invariant gait recognition using pooled segmented statistical features. Neurocomputing 191, 117\u2013140 (2016). https:\/\/doi.org\/10.1016\/j.neucom.2016.01.002","journal-title":"Neurocomputing"},{"key":"641_CR26","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.jvcir.2016.03.020","volume":"38","author":"D Lopez-Fernandez","year":"2016","unstructured":"Lopez-Fernandez, D., Madrid Cuevas, F.J., Carmona Poyato, A., Munoz Salinas, R., Medina Carnicer, R.: A new approach for multi-view gait recognition on unconstrained paths. J. Vis. Commun. Image Represent. 38, 396\u2013406 (2016)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"641_CR27","unstructured":"Hofmann, M., Wolf, D., Rigoll, G.: Identification and reconstruction of complete gait cycles for person identification in crowded scenes. In: International Conference on Computer Vision Theory and Applications, pp. 594\u2013597 (2011)"},{"key":"641_CR28","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.patrec.2015.06.004","volume":"63","author":"Pratik Chattopadhyay","year":"2015","unstructured":"Chattopadhyay, Pratik, Sural, Shamik, Mukherjee, Jayanta: Frontal gait recognition from occluded scenes. Pattern Recogn. Lett. 63, 9\u201315 (2015). https:\/\/doi.org\/10.1016\/j.patrec.2015.06.004","journal-title":"Pattern Recogn. Lett."},{"key":"641_CR29","unstructured":"Isa, W.N.M., Alam, M.J., Eswaran, C.: Gait recognition using occluded data. In: IEEE Asia Pacific Conference on Circuits and Systems, pp. 344\u2013347 (2010)"},{"issue":"11","key":"641_CR30","doi-asserted-by":"publisher","first-page":"6505","DOI":"10.1007\/s11042-015-2585-6","volume":"75","author":"Xin Chen","year":"2016","unstructured":"Chen, Xin, Yang, Tianqi, Xu, J.: Multi-gait identification based on multilinear analysis and multi-target tracking. Multimed. Tools Appl. 75(11), 6505\u20136532 (2016). https:\/\/doi.org\/10.1007\/s11042-015-2585-6","journal-title":"Multimed. Tools Appl."},{"issue":"1\u20132","key":"641_CR31","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/s00138-016-0810-6","volume":"28","author":"Xin Chen","year":"2017","unstructured":"Chen, Xin, Jiaming, Xu, Weng, Jian: Multi-gait recognition using hypergraph partition. Mach. Vis. Appl. 28(1\u20132), 117\u2013127 (2017). https:\/\/doi.org\/10.1007\/s00138-016-0810-6","journal-title":"Mach. Vis. Appl."},{"issue":"10","key":"641_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0078689","volume":"8","author":"PA Federolf","year":"2013","unstructured":"Federolf, P.A.: A novel approach to solve the \u201cmissing marker problem\u201d in marker-based motion analysis that exploits the segment coordination patterns in multi-limb motion data. PLoS ONE 8(10), 1\u201313 (2013). https:\/\/doi.org\/10.1371\/journal.pone.0078689","journal-title":"PLoS ONE"},{"issue":"3","key":"641_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0152616","volume":"11","author":"O Gloersen","year":"2016","unstructured":"Gloersen, O., Federolf, P.: Predicting missing marker trajectories in human motion data using marker interconnections. PLoS ONE 11(3), 1\u201314 (2016). https:\/\/doi.org\/10.1371\/journal.pone.0152616","journal-title":"PLoS ONE"},{"issue":"9\u201311","key":"641_CR34","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s00371-006-0080-9","volume":"22","author":"G Liu","year":"2006","unstructured":"Liu, G., McMillan, L.: Estimation of missing markers in human motion capture. Vis. Comput. 22(9\u201311), 721\u2013728 (2006)","journal-title":"Vis. Comput."},{"key":"641_CR35","doi-asserted-by":"publisher","unstructured":"Aristidou, A., Cameron, J., Lasenby, J.: Real-time estimation of missing markers in human motion capture. In: 2nd International Conference on Bioinformatics and Biomedical Engineering, pp. 1343\u20131346 (2008). https:\/\/doi.org\/10.1109\/icbbe.2008.665","DOI":"10.1109\/icbbe.2008.665"},{"key":"641_CR36","first-page":"171","volume-title":"An Introduction to Numerical Methods A MATLAB Approach","author":"A Kharab","year":"2012","unstructured":"Kharab, A., Guenther, R.B.: An Introduction to Numerical Methods A MATLAB Approach, 3rd edn, pp. 171\u2013178. CRC Press, Boca Raton (2012)","edition":"3"},{"issue":"6","key":"641_CR37","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1080\/10255841003664701","volume":"13","author":"SJ Howarth","year":"2010","unstructured":"Howarth, S.J., Callaghan, J.P.: Quantitative assessment of the accuracy for three interpolation techniques in kinematic analysis of human movement. Comput. Methods Biomech. Biomed. Eng. 13(6), 847\u2013855 (2010). https:\/\/doi.org\/10.1080\/10255841003664701","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"641_CR38","unstructured":"Piecewise Cubic Hermite Interpolating Polynomial (PCHIP). [Online] http:\/\/www.ece.northwestern.edu\/local-apps\/matlabhelp\/techdoc\/ref\/pchip.html. Accessed 1 Nov 2018"},{"issue":"1","key":"641_CR39","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1007\/s11263-013-0664-6","volume":"110","author":"Siyu Tang","year":"2014","unstructured":"Tang, Siyu, Andriluka, Mykhaylo, Schiele, Bernt: Detection and tracking of occluded people. Int. J. Comput. Vis. 110(1), 58\u201369 (2014). https:\/\/doi.org\/10.1007\/s11263-013-0664-6","journal-title":"Int. J. Comput. Vis."}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-019-00641-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00530-019-00641-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-019-00641-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T00:42:18Z","timestamp":1605746538000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00530-019-00641-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,20]]},"references-count":39,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["641"],"URL":"https:\/\/doi.org\/10.1007\/s00530-019-00641-9","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,20]]},"assertion":[{"value":"2 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 November 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}