{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T16:43:51Z","timestamp":1785775431435,"version":"3.56.0"},"reference-count":48,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T00:00:00Z","timestamp":1671062400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Chinese Language and Technology Center","award":["111-2221-E-003-025"],"award-info":[{"award-number":["111-2221-E-003-025"]}]},{"name":"Chinese Language and Technology Center","award":["111-2222-E-003-001"],"award-info":[{"award-number":["111-2222-E-003-001"]}]},{"name":"Chinese Language and Technology Center","award":["110-2221-E-003-020-MY2"],"award-info":[{"award-number":["110-2221-E-003-020-MY2"]}]},{"name":"Chinese Language and Technology Center","award":["110-2634-F-A49-004"],"award-info":[{"award-number":["110-2634-F-A49-004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Person re-identification (re-ID) is one of the essential tasks for modern visual intelligent systems to identify a person from images or videos captured at different times, viewpoints, and spatial positions. In fact, it is easy to make an incorrect estimate for person re-ID in the presence of illumination change, low resolution, and pose differences. To provide a robust and accurate prediction, machine learning techniques are extensively used nowadays. However, learning-based approaches often face difficulties in data imbalance and distinguishing a person from others having strong appearance similarity. To improve the overall re-ID performance, false positives and false negatives should be part of the integral factors in the design of the loss function. In this work, we refine the well-known AGW baseline by incorporating a focal Tversky loss to address the data imbalance issue and facilitate the model to learn effectively from the hard examples. Experimental results show that the proposed re-ID method reaches rank-1 accuracy of 96.2% (with mAP: 94.5) and rank-1 accuracy of 93% (with mAP: 91.4) on Market1501 and DukeMTMC datasets, respectively, outperforming the state-of-the-art approaches.<\/jats:p>","DOI":"10.3390\/s22249852","type":"journal-article","created":{"date-parts":[[2022,12,15]],"date-time":"2022-12-15T03:43:49Z","timestamp":1671075829000},"page":"9852","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Person Re-Identification with Improved Performance by Incorporating Focal Tversky Loss in AGW Baseline"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7451-1407","authenticated-orcid":false,"given":"Shao-Kang","family":"Huang","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3697-8401","authenticated-orcid":false,"given":"Chen-Chien","family":"Hsu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Yen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,15]]},"reference":[{"key":"ref_1","unstructured":"Zheng, L., Yang, Y., and Hauptmann, A.G. 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