{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T14:28:20Z","timestamp":1761920900733,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T00:00:00Z","timestamp":1625184000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T00:00:00Z","timestamp":1625184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,11]]},"DOI":"10.1007\/s00521-021-06201-5","type":"journal-article","created":{"date-parts":[[2021,7,2]],"date-time":"2021-07-02T04:02:59Z","timestamp":1625198579000},"page":"15807-15814","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread"],"prefix":"10.1007","volume":"33","author":[{"given":"Raghav","family":"Magoo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9478-0367","authenticated-orcid":false,"given":"Harpreet","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Neeru","family":"Jindal","sequence":"additional","affiliation":[]},{"given":"Nishtha","family":"Hooda","sequence":"additional","affiliation":[]},{"given":"Prashant Singh","family":"Rana","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,2]]},"reference":[{"key":"6201_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05626-8","author":"I Rahimi","year":"2021","unstructured":"Rahimi I, Chen F, Gandomi AH (2021) A review on COVID-19 forecasting models. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05626-8","journal-title":"Neural Comput Appl"},{"key":"6201_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijid.2021.02.058","author":"YJ Choi","year":"2021","unstructured":"Choi YJ, Park MJ, Park SJ et al (2021) Types of COVID-19 clusters and their relationship with social distancing in Seoul Metropolitan area in South Korea. Int J Infect Dis. https:\/\/doi.org\/10.1016\/j.ijid.2021.02.058","journal-title":"Int J Infect Dis"},{"key":"6201_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05592-1","author":"S Li","year":"2021","unstructured":"Li S, Lin Y, Zhu T et al (2021) Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-020-05592-1","journal-title":"Neural Comput Appl"},{"key":"6201_CR4","unstructured":"World Health Organization (2020) WHO corona-viruses (COVID-19). https:\/\/www. who.int\/emergencies\/diseases\/novel-corona-virus-2019.  Available at. Accessed 24 April 2020"},{"key":"6201_CR5","unstructured":"World Health Organization (2020) WHO director-generals opening remarks at the media briefing on covid-19\u201311 march 2020. Available at: https:\/\/www.who.int\/director-general\/speeches\/detail\/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. Accessed 16 March 2020"},{"key":"6201_CR6","unstructured":"Hensley L (2020) Social distancing is out, physical distancing is inheres how to do it. Available: https:\/\/globalnews.ca\/news\/6717166\/what-is-physical-distancing\/ Accessed 3 May 2020"},{"key":"6201_CR7","unstructured":"European Centre for Disease Prevention Control (2020) Considerations relating to social distancing measures in response to COVID-19 second update. Available at: https:\/\/www.ecdc.europa.eu\/en\/publications-ta\/considerations. Accessed 17 May 2020"},{"key":"6201_CR8","doi-asserted-by":"publisher","DOI":"10.3201\/eid2605.190995","author":"MW Fong","year":"2020","unstructured":"Fong MW, Gao H, Wong JY, Xiao J, Shiu EY, Ryu S, Cowling BJ (2020) Nonpharmaceutical measures for pandemic influenza in nonhealthcare settings\u2014social distancing measures. Emerg Infect Dis. https:\/\/doi.org\/10.3201\/eid2605.190995","journal-title":"Emerg Infect Dis"},{"key":"6201_CR9","doi-asserted-by":"publisher","DOI":"10.1186\/s12889-018-5446-1","author":"F Ahmed","year":"2018","unstructured":"Ahmed F, Zviedrite N, Uzicanin A (2018) Effectiveness of workplace social distancing measures in reducing influenza transmission: a systematic review. BMC Public Health. https:\/\/doi.org\/10.1186\/s12889-018-5446-1","journal-title":"BMC Public Health"},{"key":"6201_CR10","unstructured":"Landing AI (2020) Landing AI Named an April 2020 Cool Vendor in the Gartner Cool Vendors in AI Core Technologies. Available at: https:\/\/landing.ai\/landing-ai-named-an-april-2020-cool-vendor-in-the-gartner-cool-vendors-in-ai-core-technologies\/ Accessed 6 May 2020"},{"key":"6201_CR11","unstructured":"Ng AY Curriculum Vitae Available at: https:\/\/ai.stanford.edu\/\u223cang\/curriculum-vitae.pdf. Accessed 10 July 2020"},{"key":"6201_CR12","unstructured":"BBC News (2020) China coronavirus: Lockdown measures rise across Hubei province. Available at: https:\/\/www.bbc.co.uk\/news\/world-asia-china51217455. Accessed March 31, 2020"},{"key":"6201_CR13","unstructured":"National Health Commission of the People\u2019s Republic of China (2020) Daily briefing on novel coronavirus cases in China. Available at: http:\/\/en.nhc.gov.cn\/2020-03\/20\/c78006. Accessed: 30 March 2020"},{"key":"6201_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/S2468-2667(20)30073-6","author":"K Prem","year":"2020","unstructured":"Prem K, Liu Y, Russell TW, Kucharski AJ, Eggo RM, Davies N (2020) The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study. The Lancet Public Health. https:\/\/doi.org\/10.1016\/S2468-2667(20)30073-6","journal-title":"The Lancet Public Health"},{"key":"6201_CR15","doi-asserted-by":"publisher","DOI":"10.1215\/03616878-8802162","author":"C Adolph","year":"2020","unstructured":"Adolph C, Amano K, Bang-Jensen B, Fullman N, Wilkerson J (2020) Pandemic politics: Timing state-level social distancing responses to COVID-19. J Health Polit Policy Law. https:\/\/doi.org\/10.1215\/03616878-8802162","journal-title":"J Health Polit Policy Law"},{"key":"6201_CR16","doi-asserted-by":"publisher","unstructured":"Ainslie KE, Walters CE, Fu H et al (2020) Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment.\u00a0Wellcome Open Res. https:\/\/doi.org\/10.12688\/wellcomeopenres.15843.2","DOI":"10.12688\/wellcomeopenres.15843.2"},{"key":"6201_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110155","author":"SK Sonbhadra","year":"2020","unstructured":"Sonbhadra SK, Agarwal S, Nagabhushan P (2020) Target specific mining of COVID-19 scholarly articles using one-class approach. Chaos Soliton Fract. https:\/\/doi.org\/10.1016\/j.chaos.2020.110155","journal-title":"Chaos Soliton Fract"},{"key":"6201_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01900-3","author":"NS Punn","year":"2020","unstructured":"Punn NS, Agarwal S (2020) Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-020-01900-3","journal-title":"Appl Intell"},{"key":"6201_CR19","doi-asserted-by":"publisher","DOI":"10.1101\/2020.04.08.20057679","author":"NS Punn","year":"2020","unstructured":"Punn NS, Sonbhadra SK, Agarwal S (2020) COVID-19 epidemic analysis using machine learning and deep learning algorithms. MedRxiv. https:\/\/doi.org\/10.1101\/2020.04.08.20057679","journal-title":"MedRxiv"},{"key":"6201_CR20","unstructured":"O. website of Indian Government (2020) Distribution of the novel coronavirus-infected pneumoni Aarogya Setu Mobile App. Available at:  https:\/\/www.mygov.in\/aarogya-setu-app\/ Accessed 26 May 2020"},{"key":"6201_CR21","doi-asserted-by":"publisher","DOI":"10.5603\/DEMJ.2017.0028","author":"M Robakowska","year":"2017","unstructured":"Robakowska M, Tyranska-Fobke A, Nowak J, Slezak D, Zuratynski P, Robakowski P, Nadolny K, \u0141adny JR (2017) The use of drones during mass events. Disaster Emerg Med J. https:\/\/doi.org\/10.5603\/DEMJ.2017.0028","journal-title":"Disaster Emerg Med J"},{"key":"6201_CR22","unstructured":"Harvey A, LaPlace J (2019) Megapixels: Origins, ethics, and privacy implications of publicly available face recognition image datasets. Available at: https:\/\/megapixels.cc\/ Accessed 21 January 2020"},{"key":"6201_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110121","author":"A Zeroual","year":"2020","unstructured":"Zeroual A, Harrou F, Dairi A, Sun Y (2020) Deep learning methods for forecasting COVID-19 time-series data: a comparative study. Chaos Soliton Fract. https:\/\/doi.org\/10.1016\/j.chaos.2020.110121","journal-title":"Chaos Soliton Fract"},{"key":"6201_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102571","author":"I Ahmed","year":"2020","unstructured":"Ahmed I, Ahmad M, Rodrigues JJ, Jeon G, Din S (2020) A deep learning-based social distance monitoring framework for COVID-19. Sustain Cities Soc. https:\/\/doi.org\/10.1016\/j.scs.2020.102571","journal-title":"Sustain Cities Soc"},{"key":"6201_CR25","unstructured":"Harvey A, LaPlace J (2020) Megapixels: Oxford Town Centre. Available at: https:\/\/megapixels.cc\/oxford_town_centre\/ Accessed 21 July 2020."},{"key":"6201_CR26","unstructured":"Redmon J, Farhadi A (2018) Yolov3: An incremental improvement.\u00a0arXiv preprint. Available at: https:\/\/arxiv.org\/pdf\/1804.02767.pdf"},{"key":"6201_CR27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031","author":"S Ren","year":"2016","unstructured":"Ren S, He K, Girshick R, Sun J (2016) Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2016.2577031","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6201_CR28","doi-asserted-by":"publisher","unstructured":"Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu CY, Berg AC (2016) SSD: Single Shot MultiBox Detector. In: Leibe B., Matas J., Sebe N., Welling M. (eds) Computer Vision \u2013 ECCV 2016. ECCV 2016. Lecture Notes in Computer Science, vol. 9905, Springer, pp. 21\u201337. https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2","DOI":"10.1007\/978-3-319-46448-0_2"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06201-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06201-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06201-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,24]],"date-time":"2021-10-24T07:27:38Z","timestamp":1635060458000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06201-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,2]]},"references-count":28,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["6201"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06201-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2021,7,2]]},"assertion":[{"value":"4 August 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Authors have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}