{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T20:45:45Z","timestamp":1725741945149},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers & Electrical Engineering"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.compeleceng.2021.107550","type":"journal-article","created":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T09:59:01Z","timestamp":1635501541000},"page":"107550","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"PB","title":["An Improved Deep-Layer Architecture for Real-Time End-to-End Person Recognition System"],"prefix":"10.1016","volume":"96","author":[{"given":"C","family":"Jayavarthini","sequence":"first","affiliation":[]},{"given":"C","family":"Malathy","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compeleceng.2021.107550_bib0001","series-title":"Proceedings of the International Conference on Distributed Smart Cameras","article-title":"Real-world re-identification in an airport camera network","author":"Li","year":"2014"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0002","series-title":"Person re-identification","author":"Gong","year":"2014"},{"issue":"4","key":"10.1016\/j.compeleceng.2021.107550_bib0003","first-page":"625","article-title":"Adaptive learning for target tracking and true linking discovering across multiple non-overlapping cameras","volume":"13","author":"Chen","year":"2011","journal-title":"Multimedia"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0004","unstructured":"O. Javed, K. Sha_que, and M. Shah. Appearance modeling for tracking in multiple non-overlapping cameras."},{"issue":"1","key":"10.1016\/j.compeleceng.2021.107550_bib0005","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/TPAMI.2008.241","article-title":"Correspondence-free activity analysis and scene modeling in multiple camera views","volume":"32","author":"Wang","year":"2010","journal-title":"PAMI"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2014.02.001","article-title":"A survey of approaches and trends in person re-identification","author":"Bedagkar-Gala","year":"2014","journal-title":"Image Vis Comput"},{"issue":"2","key":"10.1016\/j.compeleceng.2021.107550_bib0007","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/s12652-010-0034-y","article-title":"Appearance-based person reidentification in camera networks: problem overview and current approaches","volume":"2","author":"Doretto","year":"2011","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"2","key":"10.1016\/j.compeleceng.2021.107550_bib0008","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1145\/2543581.2543596","article-title":"People reidenti_cation in surveillance and forensics: a survey","volume":"46","author":"Vezzani","year":"2013","journal-title":"ACM Computing Surveys (CSUR)"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0009","unstructured":"Srikrishna Karanam, Ziyan Wu, and Richard J. Radke, \u201d A Systematic Evaluation and Benchmark for Person Re-Identification: features, Metrics, and Datasets,arxiv,2016."},{"key":"10.1016\/j.compeleceng.2021.107550_bib0010","series-title":"Advances in communication systems and networks","first-page":"343","article-title":"Feature Extraction Methods in Person Re-identification System: a Technical Review","author":"Jayavarthini","year":"2020"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0011","series-title":"Advances in computer vision and pattern recognition","article-title":"Discriminative Image Descriptors for Person Re-identification","year":"2014"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0012","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.patcog.2015.08.027","article-title":"Human detection from images and videos: a survey","volume":"51","author":"Nguyen","year":"2016","journal-title":"Pattern Recognit"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0013","series-title":"Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001","article-title":"Rapid object detection using a boosted cascade of simple features","volume":"1","author":"Viola","year":"2001"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0014","series-title":"2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05)","article-title":"Histograms of oriented gradients for human detection","volume":"1","author":"Dalal","year":"2005"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0015","series-title":"Advances in neural information processing systems","article-title":"Faster r-cnn: towards real-time object detection with region proposal networks","author":"Ren","year":"2015"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0016","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"Girshick","year":"2014"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0017","series-title":"Proceedings of the IEEE international conference on computer vision","article-title":"Fast r-cnn","author":"Girshick","year":"2015"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0018","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","article-title":"You only look once: unified, real-time object detection","author":"Redmon","year":"2016"},{"issue":"14","key":"10.1016\/j.compeleceng.2021.107550_bib0019","doi-asserted-by":"crossref","first-page":"1908","DOI":"10.1016\/j.patrec.2011.09.005","article-title":"Part-based spatio-temporal model for multi-person re-identification","volume":"33","author":"Bedagkar-Gala","year":"2012","journal-title":"Pattern Recognit Lett"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0020","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","article-title":"An improved deep learning architecture for person re-identification","author":"Ahmed","year":"2015"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0021","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","article-title":"Hierarchical gaussian descriptor for person re-identification","author":"Matsukawa","year":"2016"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0022","unstructured":"Liu, Yong, Lin Shang, and Andy Song. \"Adaptive re-ranking of deep feature for person re-identification.\" arXiv preprint arXiv:1811.08561 (2018)."},{"key":"10.1016\/j.compeleceng.2021.107550_bib0023","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.imavis.2018.09.001","article-title":"Deep and low-level feature based attribute learning for person re-identification","volume":"79","author":"Chen","year":"2018","journal-title":"Image Vis Comput"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0024","series-title":"2018 IEEE International Conference on Multimedia and Expo (ICME)","article-title":"Occluded person re-identification","author":"Zhuo","year":"2018"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0025","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","article-title":"Human semantic parsing for person re-identification","author":"Kalayeh","year":"2018"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0026","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","article-title":"Vrstc: occlusion-free video person re-identification","author":"Hou","year":"2019"},{"key":"10.1016\/j.compeleceng.2021.107550_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2019.107036","article-title":"Deep-person: learning discriminative deep features for person re-identification","volume":"98","author":"Bai","year":"2020","journal-title":"Pattern Recognit"}],"container-title":["Computers & Electrical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S004579062100495X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S004579062100495X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T22:54:14Z","timestamp":1672613654000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S004579062100495X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":27,"alternative-id":["S004579062100495X"],"URL":"https:\/\/doi.org\/10.1016\/j.compeleceng.2021.107550","relation":{},"ISSN":["0045-7906"],"issn-type":[{"value":"0045-7906","type":"print"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An Improved Deep-Layer Architecture for Real-Time End-to-End Person Recognition System","name":"articletitle","label":"Article Title"},{"value":"Computers & Electrical Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compeleceng.2021.107550","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107550"}}