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In this paper, we propose a deep camera\u2010aware metric learning (DCAML) model, where images on the identity\u2010level spaces are further projected into different camera\u2010level subspaces, which can explore the inherent relationship between identity and camera. Furthermore, we exploit dynamic training strategy to jointly multiple metrics for identity\u2010camera relationship learning and thus consumedly elevating the retrieval accuracy. Extensive experiments on the three public datasets demonstrated that our method performs competitive results compared to the state\u2010of\u2010the\u2010art person re\u2010id methods.<\/jats:p>","DOI":"10.1155\/2021\/8859088","type":"journal-article","created":{"date-parts":[[2021,1,7]],"date-time":"2021-01-07T03:35:48Z","timestamp":1609990548000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Deep Camera\u2010Aware Metric Learning for Person Reidentification"],"prefix":"10.1155","volume":"2021","author":[{"given":"Wei","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5499-4758","authenticated-orcid":false,"given":"Ping","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Zhiqiang","family":"Hao","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Xu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,1,6]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"crossref","unstructured":"ZhaoH. 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