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1<!DOCTYPE html> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <title> Hyunseok Choi </title> <meta name="author" content="Hyunseok Choi"> <meta name="description" content="Hi! This is a space where records and looks around me. "> <meta name="keywords" content="hyunseok-choi, academic-website, portfolio-website"> <link rel="stylesheet" href="/assets/css/bootstrap.min.css?a4b3f509e79c54a512b890d73235ef04"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/mdb.min.css" integrity="sha256-jpjYvU3G3N6nrrBwXJoVEYI/0zw8htfFnhT9ljN3JJw=" crossorigin="anonymous"> <link defer rel="stylesheet" href="/assets/css/academicons.min.css?f0b7046b84e425c55f3463ac249818f5"> <link defer rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Roboto+Slab:100,300,400,500,700|Material+Icons&amp;display=swap"> <link defer rel="stylesheet" href="/assets/css/jekyll-pygments-themes-github.css?591dab5a4e56573bf4ef7fd332894c99" media="" id="highlight_theme_light"> <link rel="shortcut icon" href="/assets/img/favicon.png?359440a03ad9fbf5351148068012fde4"> <link rel="stylesheet" href="/assets/css/main.css?d41d8cd98f00b204e9800998ecf8427e"> <link rel="canonical" href="https://ghos0905.github.io/"> 

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1 </head> <body class="fixed-top-nav "> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top" role="navigation"> <div class="container"> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item active"> <a class="nav-link" href="/">about <span class="sr-only">(current)</span> </a> </li> <li class="nav-item "> <a class="nav-link" href="/projects/">projects </a> </li> <li class="nav-item "> <a class="nav-link" href="/publications/">publications </a> </li> <li class="nav-item "> <a class="nav-link" href="/cv/">cv </a> </li> <li class="nav-item "> <a class="nav-link" href="/teaching/">teaching </a> </li> </ul> </div> </div> </nav> <progress id="progress" value="0"> <div class="progress-container"> <span class="progress-bar"></span> </div> </progress> </header> <div class="container mt-5" role="main"> <div class="post"> <header class="post-header"> <h1 class="post-title"> <span class="font-weight-bold">Hyunseok</span> Choi </h1> <p class="desc">Generative AI model developer at <a href="https://tmaxai.co.kr" rel="external nofollow noopener" target="_blank">Tmax AI</a></p> </header> <article> <div class="profile float-right"> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/prof_pic-480.webp 480w,/assets/img/prof_pic-800.webp 800w,/assets/img/prof_pic-1400.webp 1400w," type="image/webp" sizes="(min-width: 850px) 246.0px, (min-width: 576px) 30vw, 95vw"> <img src="/assets/img/prof_pic.jpg?2594e70c20f4297d5ec0682b99810dab" class="img-fluid z-depth-1 rounded" width="100%" height="auto" alt="prof_pic.jpg" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </source></picture> </figure> </div> <div class="clearfix"> <p>Since January 2023, I’ve joined <strong><a href="https://tmaxai.co.kr" rel="external nofollow noopener" target="_blank">Tmax AI</a></strong> as an AI engineer to develop Generative AI models, enabling users to be more productive and accessible.</p> <p>My research interests are Generative AI, Computer Vision, Neural Network, and Unreal Engine. My ongoing project is focused on productivity improvment of Unreal Engine using Generative AI models.</p> <p>I completed a M.S. student in the Department of Electrical and Electronic Engineering at <strong>Yonsei University</strong> in 2023, where I was advised by <a href="http://cog.yonsei.ac.kr/pages/Cog_Prof.html" rel="external nofollow noopener" target="_blank">Prof. Daeeun Kim</a>.</p> <p>Prior to M.S. course, I received my B.S. degree in the Department of Human Environment and Design, the Cognitive Science, and the Applied Statistics at <strong>Yonsei University</strong> in 2021.</p> </div> <h2> <a href="/news/" style="color: inherit">news</a> </h2> <div class="news"> <div class="table-responsive" style="max-height: 60vw"> <table class="table table-sm table-borderless"> <tr> <th scope="row" style="width: 20%">Jun 29, 2022</th> <td> Best oral award at The International Council on Electrical Engineering Conference 2022 (ICEE 2022). </td> </tr> <tr> <th scope="row" style="width: 20%">Feb 28, 2021</th> <td> Enter the M.S. course at Yonsei University. </td> </tr> <tr> <th scope="row" style="width: 20%">Jul 22, 2020</th> <td> Internship at the Biological Cybernetics laboratory. </td> </tr> <tr> <th scope="row" style="width: 20%">Feb 28, 2015</th> <td> Enter the B.S. course at Yonsei University. </td> </tr> </table> </div> </div> <h2> <a href="/publications/" style="color: inherit">selected publications</a> </h2> <div class="publications"> <ol class="bibliography"><li> <div class="row"> <div class="col col-sm-2 abbr"> <abbr class="badge rounded w-100">Sensors</abbr> </div> <div id="choi2022moving" class="col-sm-8"> <div class="title">Moving object tracking based on sparse optical flow with moving window and target estimator</div> <div class="author"> Hosik Choi, Byungmun Kang, and DaeEun Kim </div> <div class="periodical"> <em>Sensors</em>, 2022 </div> <div class="periodical"> </div> <div class="links"> <a class="abstract btn btn-sm z-depth-0" role="button">Abs</a> <a href="https://doi.org/10.3390/s22082878" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">DOI</a> <a href="https://www.mdpi.com/1424-8220/22/8/2878" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">HTML</a> <a href="/assets/pdf/sensors-22-02878-v2.pdf" class="btn btn-sm z-depth-0" role="button">PDF</a> </div> <div class="badges"> <span class="__dimensions_badge_embed__" data-doi="10.3390/s22082878" data-style="small_rectangle" data-legend="hover-right" style="margin-bottom: 3px;"></span> </div> <div class="abstract hidden"> <p>Moving object detection and tracking are technologies applied to wide research f

1ields including traffic monitoring and recognition of workers in surrounding heavy equipment environments. However, the conventional moving object detection methods have faced many problems such as much computing time, image noises, and disappearance of targets due to obstacles. In this paper, we introduce a new moving object detection and tracking algorithm based on the sparse optical flow for reducing computing time, removing noises and estimating the target efficiently. The developed algorithm maintains a variety of corner features with refreshed corner features, and the moving window detector is proposed to determine the feature points for tracking, based on the location history of the points. The performance of detecting moving objects is greatly improved through the moving window detector and the continuous target estimation. The memory-based estimator provides the capability to recall the location of corner features for a period of time, and it has an effect of tracking targets obscured by obstacles. The suggested approach was applied to real environments including various illumination (indoor and outdoor) conditions, a number of moving objects and obstacles, and the performance was evaluated on an embedded board (Raspberry pi4). The experimental results show that the proposed method maintains a high FPS (frame per seconds) and improves the accuracy performance, compared with the conventional optical flow methods and vision approaches such as Haar-like and Hog methods.</p> </div> </div> </div> </li></ol> </div> <div class="social"> <div class="contact-icons"> <a href="mailto:%68%79%75%6E%73%65%6F%6B%63%68%6F%69%39%35@%67%6D%61%69%6C.%63%6F%6D" title="email"><i class="fa-solid fa-envelope"></i></a> <a href="https://orcid.org/0000-0001-9762-5733" title="ORCID" rel="external nofollow noopener" target="_blank"><i class="ai ai-orcid"></i></a> <a href="https://github.com/ghos0905" title="GitHub" rel="external nofollow noopener" target="_blank"><i class="fa-brands fa-github"></i></a> <a href="https://www.linkedin.com/in/hyunseokchoi95" title="LinkedIn" rel="external nofollow noopener" target="_blank"><i class="fa-brands fa-linkedin"></i></a> </div> <div class="contact-note"></div> </div> </article> </div> </div> <footer class="fixed-bottom" role="contentinfo"> <div class="container mt-0"> © Copyright 2024 Hyunseok Choi. Powered by <a href="https://jekyllrb.com/" target="_blank" rel="external nofollow noopener">Jekyll</a> with <a href="https://github.com/alshedivat/al-folio" rel="external nofollow noopener" target="_blank">al-folio</a> theme. Hosted by <a href="https://pages.github.com/" target="_blank" rel="external nofollow noopener">GitHub Pages</a>. Photos from <a href="https://unsplash.com" target="_blank" rel="external nofollow noopener">Unsplash</a>. </div> </footer> 

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