{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T21:39:20Z","timestamp":1774993160437,"version":"3.50.1"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2018,12,20]],"date-time":"2018-12-20T00:00:00Z","timestamp":1545264000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61702415"],"award-info":[{"award-number":["No.61702415"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Basic Research Plan in Shaanxi Province of China","award":["Program No.2017JM6056"],"award-info":[{"award-number":["Program No.2017JM6056"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s11042-018-7071-5","type":"journal-article","created":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T19:56:56Z","timestamp":1545249416000},"page":"4931-4947","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Random linear interpolation data augmentation for person re-identification"],"prefix":"10.1007","volume":"79","author":[{"given":"Zhi","family":"Li","sequence":"first","affiliation":[]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Wenli","family":"Jiao","sequence":"additional","affiliation":[]},{"given":"Pengfei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Baoying","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaowei","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,12,20]]},"reference":[{"issue":"3","key":"7071_CR1","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1109\/TIP.2016.2514498","volume":"25","author":"S Bai","year":"2016","unstructured":"Bai S, Bai X (2016) Sparse contextual activation for efficient visual re-ranking. IEEE Trans Image Process 25(3):1056\u20131069","journal-title":"IEEE Trans Image Process"},{"key":"7071_CR2","doi-asserted-by":"crossref","unstructured":"Barbosa IB, Cristani M, Caputo B, Rognhaugen A, Theoharis T (2017) Looking beyond appearances: synthetic training data for deep cnns in re-identification. Computer Vision & Image Understanding","DOI":"10.1016\/j.cviu.2017.12.002"},{"key":"7071_CR3","unstructured":"Boroujeni FR, Wang S, Li Z, West N, Stantic B, Yao L, Long G (2018) Trace ratio optimization with feature correlation mining for multiclass discriminant analysis. In: The AAAI conference on artifical intelligence"},{"issue":"7","key":"7071_CR4","doi-asserted-by":"publisher","first-page":"1502","DOI":"10.1109\/TNNLS.2015.2441735","volume":"27","author":"X Chang","year":"2016","unstructured":"Chang X, Nie F, Wang S, Yang Y, Zhou X, Zhang C (2016) Compound rank- k projections for bilinear analysis. IEEE Transactions on Neural Networks & Learning Systems 27(7):1502\u20131513","journal-title":"IEEE Transactions on Neural Networks & Learning Systems"},{"key":"7071_CR5","unstructured":"Chapelle O, Weston J (2011) Vicinal risk minimization. Advances in Neural Information Processing Systems, pp 416\u2013422"},{"key":"7071_CR6","doi-asserted-by":"crossref","unstructured":"Cheng D, Chang X, Liu L, Hauptmann AG, Gong Y, Zheng N (2017) Discriminative dictionary learning with ranking metric embedded for person re-identification. In: Twenty-sixth international joint conference on artificial intelligence, pp 964\u2013970","DOI":"10.24963\/ijcai.2017\/134"},{"issue":"2","key":"7071_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1348246.1348248","volume":"40","author":"R Datta","year":"2008","unstructured":"Datta R, Joshi D, Li J, Wang JZ (2008) Image retrieval: ideas, influences, and trends of the new age. ACM Comput Surv 40(2):1\u201360","journal-title":"ACM Comput Surv"},{"key":"7071_CR8","first-page":"1","volume":"8","author":"P Felzenszwalb","year":"2008","unstructured":"Felzenszwalb P, Mcallester D, Ramanan D (2008) A discriminatively trained, multiscale, deformable part model. Cvpr 8:1\u20138","journal-title":"Cvpr"},{"key":"7071_CR9","doi-asserted-by":"crossref","unstructured":"Geng M, Wang Y, Xiang T, Tian Y (2016) Deep transfer learning for person re-identification. Computer Vision & Image Understanding","DOI":"10.1109\/CVPR.2016.146"},{"key":"7071_CR10","unstructured":"Goodfellow IJ, Warde-Farley D, Mirza M, Courville A, Bengio Y (2013) Maxout networks. Computer Science pp 1319\u20131327"},{"key":"7071_CR11","unstructured":"He K, Zhang X, Ren S, Sun J (2015) Deep residual learning for image recognition. pp 770\u2013778"},{"key":"7071_CR12","unstructured":"Hermans A, Beyer L, Leibe B (2017) In defense of the triplet loss for person re-identification"},{"key":"7071_CR13","doi-asserted-by":"crossref","unstructured":"Hirzer M, Roth PM, Bischof H (2012) Person re-identification by efficient impostor-based metric learning. In: IEEE Ninth international conference on advanced video and signal-based surveillance, pp 203\u2013208","DOI":"10.1109\/AVSS.2012.55"},{"key":"7071_CR14","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1007\/978-3-642-33783-3_56","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Martin Hirzer","year":"2012","unstructured":"Hirzer M, Roth PM, Stinger M, Bischof H (2012) Relaxed pairwise learned metric for person re-identification. In: European conference on computer vision, pp 780\u2013793"},{"key":"7071_CR15","doi-asserted-by":"crossref","unstructured":"Huang G, Liu Z, Maaten LVD, Weinberger KQ (2017) Densely connected convolutional networks. In: IEEE Conference on computer vision and pattern recognition, pp 2261\u20132269","DOI":"10.1109\/CVPR.2017.243"},{"key":"7071_CR16","unstructured":"Ioffe S, Szegedy C (2015) Batch normalization: accelerating deep network training by reducing internal covariate shift. pp 448\u2013456"},{"issue":"11","key":"7071_CR17","first-page":"35","volume":"415","author":"E Kodirov","year":"2007","unstructured":"Kodirov E, Xiang T, Fu Z, Gong S (2007) Person re-identification by unsupervised \u01421 graph learning. Hydrobiologia 415(11):35\u201340","journal-title":"Hydrobiologia"},{"key":"7071_CR18","doi-asserted-by":"crossref","unstructured":"Kodirov E, Xiang T, Gong S (2015) Dictionary learning with iterative laplacian regularisation for unsupervised person re-identification. In: British machine vision conference, pp 44.1\u201344.12","DOI":"10.5244\/C.29.44"},{"issue":"2","key":"7071_CR19","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1162\/089976603762552951","volume":"15","author":"K Kreutz-Delgado","year":"2003","unstructured":"Kreutz-Delgado K, Murray JF, Rao BD, Engan K, Lee TW, Sejnowski TJ (2003) Dictionary learning algorithms for sparse representation. Neural Comput 15(2):349\u2013396","journal-title":"Neural Comput"},{"key":"7071_CR20","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: International conference on neural information processing systems, pp 1097\u20131105"},{"issue":"99","key":"7071_CR21","first-page":"1","volume":"PP","author":"Z Lei","year":"2016","unstructured":"Lei Z, Shen J, Liang X, Cheng Z (2016) Unsupervised topic hypergraph hashing for efficient mobile image retrieval. IEEE Transactions on Cybernetics PP (99):1\u201314","journal-title":"IEEE Transactions on Cybernetics"},{"key":"7071_CR22","doi-asserted-by":"crossref","unstructured":"Li J, Wei Y, Liang X, Zhao F, Li J, Xu T, Feng J (2017) Deep attribute-preserving metric learning for natural language object retrieval. In: ACM On multimedia conference, pp 181\u2013189","DOI":"10.1145\/3123266.3123439"},{"issue":"99","key":"7071_CR23","first-page":"1","volume":"PP","author":"Z Li","year":"2017","unstructured":"Li Z, Nie F, Chang X, Yang Y (2017) Beyond trace ratio: weighted harmonic mean of trace ratios for multiclass discriminant analysis. IEEE Transactions on Knowledge & Engineering PP(99):1\u20131","journal-title":"IEEE Transactions on Knowledge & Engineering"},{"key":"7071_CR24","doi-asserted-by":"crossref","unstructured":"Liao S, Hu Y, Zhu X, Li SZ (2015) Person re-identification by local maximal occurrence representation and metric learning. In: Computer vision and pattern recognition, pp 2197\u20132206","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"7071_CR25","doi-asserted-by":"crossref","unstructured":"Lisanti G, Masi I, Bimbo AD (2014) Matching people across camera views using kernel canonical correlation analysis. pp 1\u20136","DOI":"10.1145\/2659021.2659036"},{"key":"7071_CR26","unstructured":"Maas AL, Hannun AY, Ng AY (2013) Rectifier nonlinearities improve neural network acoustic models"},{"key":"7071_CR27","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-1-4471-6296-4_12","volume-title":"Person Re-Identification","author":"Peter M. Roth","year":"2014","unstructured":"Roth PM, Hirzer M, K?stinger M, Beleznai C, Bischof H (2014) Mahalanobis distance learning for person re-identification. Springer, London"},{"key":"7071_CR28","unstructured":"Roth PM, Wohlhart P, Hirzer M, Kostinger M, Bischof H (2012) Large scale metric learning from equivalence constraints. In: IEEE Conference on computer vision and pattern recognition, pp 2288\u20132295"},{"key":"7071_CR29","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. Computer Science"},{"key":"7071_CR30","doi-asserted-by":"crossref","unstructured":"Sun Y, Zheng L, Deng W, Wang S (2017) Svdnet for pedestrian retrieval. In: IEEE International conference on computer vision, pp 3820\u20133828","DOI":"10.1109\/ICCV.2017.410"},{"issue":"398","key":"7071_CR31","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1080\/01621459.1987.10478458","volume":"82","author":"MA Tanner","year":"1987","unstructured":"Tanner MA, Wong WH (1987) The calculation of posterior distributions by data augmentation. Publ Am Stat Assoc 82(398):528\u2013540","journal-title":"Publ Am Stat Assoc"},{"key":"7071_CR32","doi-asserted-by":"crossref","unstructured":"Torralba A, Fergus R, Freeman WT (2008) 80 Million Tiny Images: a Large Data Set for Nonparametric Object and Scene Recognition. IEEE Computer Society","DOI":"10.1109\/TPAMI.2008.128"},{"key":"7071_CR33","first-page":"1","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Fei Xiong","year":"2014","unstructured":"Xiong F, Gou M, Camps O, Sznaier M (2014) Person re-identification using kernel-based metric learning methods. In: European conference on computer vision, pp 1\u201316"},{"key":"7071_CR34","unstructured":"Xu B, Wang N, Chen T, Li M (2015) Empirical evaluation of rectified activations in convolutional network. Computer Science"},{"key":"7071_CR35","doi-asserted-by":"crossref","unstructured":"Zhang L, Xiang T, Gong S (2016) Learning a discriminative null space for person re-identification. In: Computer vision and pattern recognition, pp 1239\u20131248","DOI":"10.1109\/CVPR.2016.139"},{"key":"7071_CR36","doi-asserted-by":"crossref","unstructured":"Zheng L, Shen L, Tian L, Wang S, Wang J, Tian Q (2015) Scalable person re-identification: a benchmark. In: IEEE international conference on computer vision, pp 1116\u20131124","DOI":"10.1109\/ICCV.2015.133"},{"key":"7071_CR37","unstructured":"Zheng L, Yang Y, Hauptmann AG (2016) Person re-identification: past present and future"},{"key":"7071_CR38","unstructured":"Zheng Z, Zheng L, Yang Y (2017) Pedestrian alignment network for large-scale person re-identification"},{"key":"7071_CR39","doi-asserted-by":"crossref","unstructured":"Zheng Z, Zheng L, Yang Y (2017) Unlabeled samples generated by gan improve the person re-identification baseline in vitro. pp 3774\u20133782","DOI":"10.1109\/ICCV.2017.405"},{"key":"7071_CR40","doi-asserted-by":"crossref","unstructured":"Zhong Z, Zheng L, Cao D, Li S (2017) Re-ranking person re-identification with k-reciprocal encoding. pp 3652\u20133661","DOI":"10.1109\/CVPR.2017.389"},{"key":"7071_CR41","unstructured":"Zhong Z, Zheng L, Kang G, Li S, Yang Y (2017) Random erasing data augmentation"},{"issue":"9","key":"7071_CR42","doi-asserted-by":"publisher","first-page":"2066","DOI":"10.1109\/TMM.2017.2729025","volume":"19","author":"L Zhu","year":"2017","unstructured":"Zhu L, Huang Z, Liu X, He X, Sun J, Zhou X (2017) Discrete multimodal hashing with canonical views for robust mobile landmark search. IEEE Trans Multimedia 19(9):2066\u20132079","journal-title":"IEEE Trans Multimedia"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-7071-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-7071-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-7071-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T06:20:16Z","timestamp":1583130016000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-7071-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,20]]},"references-count":42,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["7071"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-7071-5","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,20]]},"assertion":[{"value":"2 May 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 October 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}