A Credibility Scoring Algorithm to match surveillance video target and UWB tag

A Credibility Scoring Algorithm to match surveillance video target and UWB tag | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Credibility Scoring Algorithm to match surveillance video target and UWB tag jiachen yan, Guang Yang, Weihong Li, Qunxiong Lin, Junjie Chen, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4015518/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Jun, 2024 Read the published version in Wireless Networks → Version 1 posted 8 You are reading this latest preprint version Abstract Pedestrians positioning by surveillance video offers high accuracy and real-time performance in indoor scenes. Pedestrian positioning based on surveillance video has both challenges and promising application prospects. However, the practical application of existing surveillance video is hindered by the lack of tag information and incomplete video coverage. Although the positioning methods with terminal devices provide the tag information, simultaneous signal transmission from multiple tags to the base station will lead to collisions and mutual interference, like UWB positioning. The positioning method that combining surveillance video and terminal devices is expected to solve the problem. This paper introduces a credibility scoring algorithm to match surveillance video target and terminal tag. The algorithm considers four factors, including distance between the obtained positioning points, weighted average speed, direction of motion, number of obtained positioning points from both the video and Ultra-Wideband (UWB) tag. The algorithm matches the surveillance video target and UWB tag according to the highest sore. The experimental results show that the proposed credibility scoring algorithm achieved accurate matching results in both unob-structed scenes (scores for the same tag are generally twice as high as scores for different tag) and obstructed scenes (scores for the same tag are 13% higher than scores for different tag). The approach improves the usability of pedestrian positioning by surveillance video in indoor scenes and avoid the problem of tag mis-alignment, and will further provide the technical support in pedestrian positioning and management based on surveillance video. pedestrian positioning surveillance video UWB trajectory match- ing matching algorithm Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 10 Jun, 2024 Read the published version in Wireless Networks → Version 1 posted Editorial decision: Revision requested 29 Mar, 2024 Reviews received at journal 26 Mar, 2024 Reviewers agreed at journal 20 Mar, 2024 Reviewers agreed at journal 17 Mar, 2024 Reviewers invited by journal 17 Mar, 2024 Editor assigned by journal 15 Mar, 2024 Submission checks completed at journal 05 Mar, 2024 First submitted to journal 05 Mar, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4015518","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":276564166,"identity":"ae900c3c-a73b-41b4-be9f-af00a1b83adb","order_by":0,"name":"jiachen yan","email":"","orcid":"","institution":"South China Normal University","correspondingAuthor":false,"prefix":"","firstName":"jiachen","middleName":"","lastName":"yan","suffix":""},{"id":276564167,"identity":"da93aca9-ef24-426e-a2fa-f1f5350b4095","order_by":1,"name":"Guang 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