{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:19:07Z","timestamp":1777043947416,"version":"3.51.4"},"reference-count":100,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,29]],"date-time":"2023-01-29T00:00:00Z","timestamp":1674950400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Learning about appearance embedding is of great importance for a variety of different computer-vision applications, which has prompted a surge in person re-identification (Re-ID) papers. The aim of these papers has been to identify an individual over a set of non-overlapping cameras. Despite recent advances in RGB\u2013RGB Re-ID approaches with deep-learning architectures, the approach fails to consistently work well when there are low resolutions in dark conditions. The introduction of different sensors (i.e., RGB\u2013D and infrared (IR)) enables the capture of appearances even in dark conditions. Recently, a lot of research has been dedicated to addressing the issue of finding appearance embedding in dark conditions using different advanced camera sensors. In this paper, we give a comprehensive overview of existing Re-ID approaches that utilize the additional information from different sensor-based methods to address the constraints faced by RGB camera-based person Re-ID systems. Although there are a number of survey papers that consider either the RGB\u2013RGB or Visible-IR scenarios, there are none that consider both RGB\u2013D and RGB\u2013IR. In this paper, we present a detailed taxonomy of the existing approaches along with the existing RGB\u2013D and RGB\u2013IR person Re-ID datasets. Then, we summarize the performance of state-of-the-art methods on several representative RGB\u2013D and RGB\u2013IR datasets. Finally, future directions and current issues are considered for improving the different sensor-based person Re-ID systems.<\/jats:p>","DOI":"10.3390\/s23031504","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T02:28:34Z","timestamp":1675045714000},"page":"1504","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Person Re-Identification with RGB\u2013D and RGB\u2013IR Sensors: A Comprehensive Survey"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3784-4410","authenticated-orcid":false,"given":"Md Kamal","family":"Uddin","sequence":"first","affiliation":[{"name":"Interactive Systems Lab, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan"},{"name":"Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali 3814, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amran","family":"Bhuiyan","sequence":"additional","affiliation":[{"name":"Information Retrieval and Knowledge Management Research Laboratory, York University, Toronto, ON M3J 1P3, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fateha Khanam","family":"Bappee","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Noakhali 3814, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md Matiqul","family":"Islam","sequence":"additional","affiliation":[{"name":"Interactive Systems Lab, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan"},{"name":"Department of Information and Communication Engineering, University of Rajshahi, Rajshahi 6205, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6274-4107","authenticated-orcid":false,"given":"Mahmudul","family":"Hasan","sequence":"additional","affiliation":[{"name":"Interactive Systems Lab, Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan"},{"name":"Department of Computer Science and Engineering, Comilla University, Kotbari 3506, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,29]]},"reference":[{"key":"ref_1","unstructured":"Gheissari, N., Sebastian, T.B., and Hartley, R. 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