Design of Indoor Real time Photography Intelligent Synthesis System Based on Multi person Tracking Technology

Design of Indoor Real time Photography Intelligent Synthesis System Based on Multi person Tracking Technology | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 19 November 2025 V1 Latest version Share on Design of Indoor Real time Photography Intelligent Synthesis System Based on Multi person Tracking Technology Author : Yanfeng Chen 0009-0000-0914-4068 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.176356819.92404870/v1 136 views 73 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The Indoor Real-Time Photography Intelligent Synthesis System leverages multi-person tracking technology to enhance real-time indoor photography. Designed for applications like event documentation, interactive classrooms, and entertainment, this system utilizes edge computing cameras with Tensor Processing Units (TPUs) for real-time detection and pose estimation. By processing features locally, it ensures privacy by avoiding the transmission of raw images. Z-score normalization is employed to standardize pixel intensity values, improving consistency across frames. Human detection and tracking are achieved using a Scalable Beetle Swarm-tuned Faster Regional Convolutional Network with DeepSORT (SBS-FRC-DeepSORT), effectively managing occlusions and maintaining consistent identities. Histogram of Oriented Gradients (HOG) is used to improve human silhouette representation, ensuring reliable tracking. The system optimizes framing, lighting, color correction, occlusion resolution, and multi-camera fusion to produce high-quality visual outputs. With low latency, the system maintains motion continuity and visual clarity even in crowded environments. Experimental evaluation in a large indoor space demonstrated impressive results, with precision at 0.92, recall at 0.90, and accuracy at 0.98. These findings show that the system outperforms existing methods in multi-person indoor tracking and intelligent photographic synthesis, making it a highly effective solution for dynamic indoor settings. Supplementary Material File (design of indoor real format.docx) Download 2.08 MB Information & Authors Information Version history V1 Version 1 19 November 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords 3d printing 5g mobile communication Authors Affiliations Yanfeng Chen 0009-0000-0914-4068 [email protected] Guangzhou College of Commerce View all articles by this author Metrics & Citations Metrics Article Usage 136 views 73 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yanfeng Chen. Design of Indoor Real time Photography Intelligent Synthesis System Based on Multi person Tracking Technology. Authorea . 19 November 2025. DOI: https://doi.org/10.22541/au.176356819.92404870/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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