{"id":1605,"date":"2025-09-17T10:17:38","date_gmt":"2025-09-17T03:17:38","guid":{"rendered":"https:\/\/www.its.ac.id\/publikasi\/?p=1605"},"modified":"2025-09-17T10:17:38","modified_gmt":"2025-09-17T03:17:38","slug":"semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video","status":"publish","type":"post","link":"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/","title":{"rendered":"Semantic Editing of Traffic Near-Miss and Accident Dataset Using Tune-A-Video"},"content":{"rendered":"<div id=\"authorString\"><em>Eka Alifia Kusnanti, Chastine Fatichah, Muhamad Hilmil Pradana<\/em><\/div>\n<p>&nbsp;<\/p>\n<div id=\"articleAbstract\">\n<h4>Abstract<\/h4>\n<div>Developing effective traffic monitoring systems for accident detection relies heavily on high-quality, diverse datasets. Many existing approaches focus on detecting anomalies in traffic videos. Still, they often fail to account for how varying environmental conditions, such as time of day, weather, or lighting, might influence the occurrence of near-misses or accidents. In this study, we explore the potential of Tune-A-Video to apply semantic editing techniques to an existing traffic near-miss and accident dataset. By modifying the visual environment, such as changing the time of day, weather, or lighting, we aim to generate realistic footage variations without altering the core events like near-miss incidents or accidents. This method enhances the dataset with more varied and realistic traffic conditions, improving its representativeness of real-world scenarios. The primary objective is not to create a new dataset but to assess the impact of semantic editing on the dataset\u2019s diversity and its effect on model performance. The results show that using Tune-A-Video for semantic editing can enrich the dataset, making it more suitable for training machine learning models. This approach helps improve the accuracy and robustness of computer vision models, particularly for traffic monitoring and accident detection applications, offering a promising tool for traffic safety systems.<\/div>\n<\/div>\n<div id=\"articleSubject\">\n<h4>Keywords<\/h4>\n<div>Accident; Near-Miss; Semantic Editing; Traffic Dataset; Tune-A-Video<\/div>\n<div><a href=\"https:\/\/iptek.its.ac.id\/index.php\/jts\/article\/view\/22186\">PDF<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Eka Alifia Kusnanti, Chastine Fatichah, Muhamad Hilmil Pradana &nbsp; Abstract Developing effective traffic monitoring systems for accident detection relies heavily on high-quality, diverse datasets. Many existing approaches focus on detecting anomalies in traffic videos. Still, they often fail to account for how varying environmental conditions, such as time of day, weather, or lighting, might influence [&hellip;]<\/p>\n","protected":false},"author":250,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[85],"tags":[],"class_list":["post-1605","post","type-post","status-publish","format-standard","hentry","category-jts-jurnal"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Semantic Editing of Traffic Near-Miss and Accident Dataset Using Tune-A-Video - IJC ( ITS Journal Center )<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Semantic Editing of Traffic Near-Miss and Accident Dataset Using Tune-A-Video - IJC ( ITS Journal Center )\" \/>\n<meta property=\"og:description\" content=\"Eka Alifia Kusnanti, Chastine Fatichah, Muhamad Hilmil Pradana &nbsp; Abstract Developing effective traffic monitoring systems for accident detection relies heavily on high-quality, diverse datasets. Many existing approaches focus on detecting anomalies in traffic videos. Still, they often fail to account for how varying environmental conditions, such as time of day, weather, or lighting, might influence [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/\" \/>\n<meta property=\"og:site_name\" content=\"IJC ( ITS Journal Center )\" \/>\n<meta property=\"article:published_time\" content=\"2025-09-17T03:17:38+00:00\" \/>\n<meta name=\"author\" content=\"itspublikasi\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"itspublikasi\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/\"},\"author\":{\"name\":\"itspublikasi\",\"@id\":\"https:\/\/www.its.ac.id\/publikasi\/#\/schema\/person\/1241b8776d05c54fbc628c0a83d59e3c\"},\"headline\":\"Semantic Editing of Traffic Near-Miss and Accident Dataset Using Tune-A-Video\",\"datePublished\":\"2025-09-17T03:17:38+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/\"},\"wordCount\":231,\"commentCount\":0,\"articleSection\":[\"jts jurnal\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/\",\"url\":\"https:\/\/www.its.ac.id\/publikasi\/2025\/09\/17\/semantic-editing-of-traffic-near-miss-and-accident-dataset-using-tune-a-video\/\",\"name\":\"Semantic Editing of Traffic Near-Miss and Accident Dataset Using Tune-A-Video - 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