{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T13:36:46Z","timestamp":1779889006074,"version":"3.53.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"21-22","license":[{"start":{"date-parts":[[2019,2,13]],"date-time":"2019-02-13T00:00:00Z","timestamp":1550016000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,2,13]],"date-time":"2019-02-13T00:00:00Z","timestamp":1550016000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2016YFD0700204-02"],"award-info":[{"award-number":["2016YFD0700204-02"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Dong Nong Scholar Program of Northeast Agricultural University","award":["17XG20"],"award-info":[{"award-number":["17XG20"]}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province of China","doi-asserted-by":"crossref","award":["QC2018074"],"award-info":[{"award-number":["QC2018074"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs","award":["2018AIOT-02"],"award-info":[{"award-number":["2018AIOT-02"]}]},{"name":"China Agriculture Research System","award":["CARS-36"],"award-info":[{"award-number":["CARS-36"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s11042-019-7344-7","type":"journal-article","created":{"date-parts":[[2019,2,13]],"date-time":"2019-02-13T18:49:20Z","timestamp":1550083760000},"page":"14711-14724","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Individual identification of dairy cows based on convolutional neural networks"],"prefix":"10.1007","volume":"79","author":[{"given":"Weizheng","family":"Shen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengqi","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baisheng","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,2,13]]},"reference":[{"key":"7344_CR1","doi-asserted-by":"crossref","unstructured":"Chen X, Li Q, Song Y, Jin X, Zhao Q (2012) Supervised geodesic propagation for semantic label transfer. In: European Conference on Computer Vision, 2012. Springer, 553\u2013565","DOI":"10.1007\/978-3-642-33712-3_40"},{"key":"7344_CR2","doi-asserted-by":"crossref","unstructured":"Girshick R (2015) Fast r-cnn. In: Proceedings of the IEEE international conference on computer vision, 2015. 1440\u20131448","DOI":"10.1109\/ICCV.2015.169"},{"key":"7344_CR3","doi-asserted-by":"crossref","unstructured":"Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2014. pp 580\u2013587","DOI":"10.1109\/CVPR.2014.81"},{"key":"7344_CR4","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2016. pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"7344_CR5","unstructured":"Huang G, Liu Z, Van Der Maaten L, Weinberger KQ (2017) Densely connected convolutional networks. In: CVPR, 2017. vol 2. p 3"},{"key":"7344_CR6","doi-asserted-by":"crossref","unstructured":"Jin X, Wu L, Li X, Chen S, Peng S, Chi J, Ge S, Song C, Zhao G (2018) Predicting aesthetic score distribution through cumulative jensen-shannon divergence. In: AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Lousiana, USA","DOI":"10.1609\/aaai.v32i1.11286"},{"issue":"25","key":"7344_CR7","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1136\/vr.138.25.612","volume":"138","author":"A Johnston","year":"1996","unstructured":"Johnston A, Edwards D, Hofmann E, Wrench P, Sharples F, Hiller R, Welte W, Diederichs K (1996) 1418001. Welfare implications of identification of cattle by ear tags. Vet Record 138(25):612\u2013614","journal-title":"Vet Record"},{"issue":"5","key":"7344_CR8","first-page":"181","volume":"31","author":"Z Kaixuan","year":"2015","unstructured":"Kaixuan Z, He D (2015) Recognition of individual dairy cattle based on convolutional neural networks. Trans Chin Soc Agric Eng (Trans CSAE) 31(5):181\u2013187","journal-title":"Trans Chin Soc Agric Eng (Trans CSAE)"},{"key":"7344_CR9","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Advances in neural information processing systems, 2012. pp 1097\u20131105"},{"issue":"7","key":"7344_CR10","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.tree.2013.02.013","volume":"28","author":"HS K\u00fchl","year":"2013","unstructured":"K\u00fchl HS, Burghardt T (2013) Animal biometrics: quantifying and detecting phenotypic appearance. Trends Ecol Evol 28(7):432\u2013441","journal-title":"Trends Ecol Evol"},{"issue":"2","key":"7344_CR11","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/s40010-016-0264-2","volume":"86","author":"S Kumar","year":"2016","unstructured":"Kumar S, Tiwari S, Singh SK (2016) Face recognition of cattle: can it be done? Proc Ntnl Acad Sci, India Sect A: Phys Sci 86(2):137\u2013148","journal-title":"Proc Ntnl Acad Sci, India Sect A: Phys Sci"},{"key":"7344_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.measurement.2017.10.064","volume":"116","author":"S Kumar","year":"2018","unstructured":"Kumar S, Pandey A, Satwik KSR, Kumar S, Singh SK, Singh AK, Mohan A (2018) Deep learning framework for recognition of cattle using muzzle point image pattern. Measurement 116:1\u201317","journal-title":"Measurement"},{"issue":"11","key":"7344_CR13","doi-asserted-by":"publisher","first-page":"4812","DOI":"10.1109\/TIP.2014.2358193","volume":"23","author":"Q Li","year":"2014","unstructured":"Li Q, Chen X, Song Y, Zhang Y, Jin X, Zhao Q (2014) Geodesic propagation for semantic labeling. IEEE Trans Image Process 23(11):4812\u20134825","journal-title":"IEEE Trans Image Process"},{"key":"7344_CR14","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: Common objects in context. In: European conference on computer vision, 2014. Springer, pp 740\u2013755"},{"issue":"6","key":"7344_CR15","doi-asserted-by":"publisher","first-page":"e3927","DOI":"10.1002\/cpe.3927","volume":"29","author":"H Lu","year":"2017","unstructured":"Lu H, Li B, Zhu J, Li Y, Li Y, Xu X, He L, Li X, Li J, Serikawa S (2017) Wound intensity correction and segmentation with convolutional neural networks. Concur Comput: Pract Exp 29(6):e3927","journal-title":"Concur Comput: Pract Exp"},{"key":"7344_CR16","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.future.2018.01.001","volume":"82","author":"H Lu","year":"2018","unstructured":"Lu H, Li Y, Uemura T, Kim H, Serikawa S (2018) Low illumination underwater light field images reconstruction using deep convolutional neural networks. Futur Gener Comput Syst 82:142\u2013148","journal-title":"Futur Gener Comput Syst"},{"issue":"4","key":"7344_CR17","doi-asserted-by":"publisher","first-page":"2315","DOI":"10.1109\/JIOT.2017.2737479","volume":"5","author":"H Lu","year":"2018","unstructured":"Lu H, Li Y, Mu S, Wang D, Kim H, Serikawa S (2018) Motor anomaly detection for unmanned aerial vehicles using reinforcement learning. IEEE Internet Things J 5(4):2315\u20132322","journal-title":"IEEE Internet Things J"},{"issue":"2","key":"7344_CR18","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1007\/s11036-017-0932-8","volume":"23","author":"H Lu","year":"2018","unstructured":"Lu H, Li Y, Chen M, Kim H, Serikawa S (2018) Brain intelligence: go beyond artificial intelligence. Mob Netwo Appl 23(2):368\u2013375","journal-title":"Mob Netwo Appl"},{"key":"7344_CR19","doi-asserted-by":"crossref","unstructured":"Redmon J, Farhadi A (2017) YOLO9000: better, faster, stronger. arXiv preprint","DOI":"10.1109\/CVPR.2017.690"},{"key":"7344_CR20","doi-asserted-by":"crossref","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. Proc IEEE Conf Comput Vis Pattern Recognit 2016:779\u2013788","DOI":"10.1109\/CVPR.2016.91"},{"key":"7344_CR21","unstructured":"Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: towards real-time object detection with region proposal networks. Adv Neural Inf Proces Syst 2015:91\u201399"},{"issue":"1","key":"7344_CR22","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.compeleceng.2013.10.016","volume":"40","author":"S Serikawa","year":"2014","unstructured":"Serikawa S, Lu H (2014) Underwater image dehazing using joint trilateral filter. Comput Electr Eng 40(1):41\u201350","journal-title":"Comput Electr Eng"},{"key":"7344_CR23","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:14091556"},{"issue":"2","key":"7344_CR24","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 MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2):137\u2013154","journal-title":"Int J Comput Vis"},{"issue":"2","key":"7344_CR25","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1016\/j.compag.2009.07.009","volume":"70","author":"AS Voulodimos","year":"2010","unstructured":"Voulodimos AS, Patrikakis CZ, Sideridis AB, Ntafis VA, Xylouri EM (2010) A complete farm management system based on animal identification using RFID technology. Comput Electron Agric 70(2):380\u2013388","journal-title":"Comput Electron Agric"},{"issue":"9","key":"7344_CR26","doi-asserted-by":"publisher","first-page":"4150","DOI":"10.1109\/TIP.2014.2344433","volume":"23","author":"L Zhang","year":"2014","unstructured":"Zhang L, Yang Y, Gao Y, Yu Y, Wang C, Li X (2014) A probabilistic associative model for segmenting weakly supervised images. IEEE Trans Image Process 23(9):4150\u20134159","journal-title":"IEEE Trans Image Process"},{"key":"7344_CR27","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.jnca.2018.05.007","volume":"117","author":"Y Zhang","year":"2018","unstructured":"Zhang Y, Gravina R, Lu H, Villari M, Fortino G (2018) PEA: parallel electrocardiogram-based authentication for smart healthcare systems. J Netw Comput Appl 117:10\u201316","journal-title":"J Netw Comput Appl"},{"key":"7344_CR28","unstructured":"Zin TT, Phyo CN, Tin P, Hama H, Kobayashi I (2018) Image Technology based Cow Identification System Using Deep Learning. In: Proceedings of the International MultiConference of Engineers and Computer Scientists"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7344-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7344-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7344-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T21:04:29Z","timestamp":1662930269000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7344-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,13]]},"references-count":28,"journal-issue":{"issue":"21-22","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["7344"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7344-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,13]]},"assertion":[{"value":"30 August 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}