{"id":24653,"date":"2025-05-08T09:55:44","date_gmt":"2025-05-08T02:55:44","guid":{"rendered":"https:\/\/stei.itb.ac.id\/?p=24653"},"modified":"2025-05-08T15:10:54","modified_gmt":"2025-05-08T08:10:54","slug":"detektor-multi-box-single-shot-berbasis-particle-filter-untuk-memprediksi-pergerakan-manusia","status":"publish","type":"post","link":"https:\/\/stei.itb.ac.id\/en\/detektor-multi-box-single-shot-berbasis-particle-filter-untuk-memprediksi-pergerakan-manusia\/","title":{"rendered":"Particle Filter-Based Single Shot MultiBox Detector for Predicting Human Movement"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1746667130109\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>Peneliti : Carmadi Machbub, Lenni Yulianti, Pranoto Hidaya Rusmin<br \/>\nStudent: Devira Anggi Maharani<\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid vc_custom_1746667123811\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p><span style=\"font-weight: 400;\">Tracking moving objects is currently a focus of attention for researchers. <\/span><i><span style=\"font-weight: 400;\">.<\/span><\/i><span style=\"font-weight: 400;\">. Correctly tracking moving objects is quite a challenging problem, especially when the objects experience occlusions, lighting changes, unexpected movements, and assume different movement poses. To improve the accuracy of the moving object detector, we propose SSD (<\/span><i><span style=\"font-weight: 400;\">Single Shot Multi-box Detector<\/span><\/i><span style=\"font-weight: 400;\">) selain PF (<\/span><i><span style=\"font-weight: 400;\">Particle Filter<\/span><\/i><span style=\"font-weight: 400;\">to provide moving human prediction. Performance evaluation is done by comparison with HOG-SVM as a detector. The proposed system has been successfully tested on two videos. SSD-based PF with 100 particles performed well, with an RMSE of 7.44 and 91.24 effective particles. The results show that adding SSD in the measurement process can improve the performance of PF for tracking moving humans. The results also show that the proposed method is successfully applied in combination with specific color detection to track specific human objects.<\/span><\/p>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fullwidth\" ><div class=\"vc_row wpb_row vc_row-fluid\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div  class=\"wpb_single_image wpb_content_element vc_align_center wpb_content_element\">\n\t\t\n\t\t<figure class=\"wpb_wrapper vc_figure\">\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"535\" height=\"670\" src=\"https:\/\/stei.itb.ac.id\/wp-content\/uploads\/ProyekPenelitianInovasi-15.jpg\" class=\"vc_single_image-img attachment-full\" alt=\"\" title=\"Human detection with SSD and HOG-SVM\" \/><\/div><figcaption class=\"vc_figure-caption\">Human detection with SSD and HOG-SVM<\/figcaption>\n\t\t<\/figure>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"Peneliti : Carmadi Machbub, Lenni Yulianti, Pranoto Hidaya Rusmin Mahasiswa : Devira Anggi Maharani Pelacakan objek yang sedang bergerak saat ini menjadi pusat perhatian bagi para peneliti computer vision. Pelacakan [...]","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[911,17],"tags":[],"class_list":["post-24653","post","type-post","status-publish","format-standard","hentry","category-kk-sistem-kendali-dan-komputer","category-research-2"],"_links":{"self":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24653","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/comments?post=24653"}],"version-history":[{"count":4,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24653\/revisions"}],"predecessor-version":[{"id":24686,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/posts\/24653\/revisions\/24686"}],"wp:attachment":[{"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/media?parent=24653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/categories?post=24653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stei.itb.ac.id\/en\/wp-json\/wp\/v2\/tags?post=24653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}