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Experimental results on a number of challenging video sequences confirm that the proposed method outperforms the related state-of-the-art trackers.<\/jats:p>","DOI":"10.1186\/s13634-019-0646-0","type":"journal-article","created":{"date-parts":[[2019,10,30]],"date-time":"2019-10-30T20:28:08Z","timestamp":1572467288000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Robust object tracking via online discriminative appearance modeling"],"prefix":"10.1186","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0051-7355","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"first","affiliation":[]},{"given":"Xin","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,29]]},"reference":[{"key":"646_CR1","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.patrec.2015.04.010","volume":"62","author":"L. 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