{"id":755,"date":"2020-06-17T08:27:34","date_gmt":"2020-06-17T05:27:34","guid":{"rendered":"http:\/\/cm.upt.ro\/?p=755"},"modified":"2022-01-18T09:40:58","modified_gmt":"2022-01-18T07:40:58","slug":"cncsis-grant-no-27688-140305code-600-type-a-object-tracking-estimation-in-video-sequences","status":"publish","type":"post","link":"https:\/\/cm.upt.ro\/en\/proiecte-nationale\/cncsis-grant-no-27688-140305code-600-type-a-object-tracking-estimation-in-video-sequences\/","title":{"rendered":"CNCSIS grant No. 27688\/14.03.05, CODE 600, type A, Object tracking estimation in video sequences"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"755\" class=\"elementor elementor-755\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5c05a25 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5c05a25\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-5c05e4a\" data-id=\"5c05e4a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c06153 elementor-widget elementor-widget-vc_custom_heading\" data-id=\"5c06153\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"vc_custom_heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"vc_custom_heading  masterstudy_heading_font  text_align_left\" ><h3 style=\"text-align: left;font-weight:400\" class=\"masterstudy-custom-title\">CNCSIS grant No. 27688\/14.03.05, CODE 600, type A, Object tracking estimation in video sequences \n<\/h3><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c063da elementor-widget elementor-widget-vc_custom_heading\" data-id=\"5c063da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"vc_custom_heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"vc_custom_heading  masterstudy_heading_font  text_align_left\" ><h5 style=\"color: #bcbcbc;text-align: left;font-weight:400\" class=\"masterstudy-custom-title\">No. 27688\/14.03.05\n<\/h5><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c0657c elementor-widget elementor-widget-text-editor\" data-id=\"5c0657c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The aim of the work is to develop a robust and real-time operating system. The system must cope with congested environments. This will be achieved through the following contributions: a background detection using non-parametric kernel density estimation, a robust and accurate tracking method for tracked individuals in crowded environments, using a multimodal strategy to improve segmentation and tracking results, finding solutions robust to the use of deformable models in people counting.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c0670d elementor-widget elementor-widget-stm_multy_separator\" data-id=\"5c0670d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"stm_multy_separator.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"multiseparator masterstudy_elementor_multy_separator_\"><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c06765 elementor-widget elementor-widget-vc_custom_heading\" data-id=\"5c06765\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"vc_custom_heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"vc_custom_heading  masterstudy_heading_font  text_align_left\" ><h6 style=\"color: #044383;text-align: left;font-weight:400\" class=\"masterstudy-custom-title\"><\/h6><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c068f4 elementor-widget elementor-widget-text-editor\" data-id=\"5c068f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>In the context of the rapid development of multimedia technologies, visual surveillance with traffic estimation and facial recognition is an important goal for many applications. The objective is to develop a human counting tool intended to provide statistical knowledge useful in objectively evaluating the efficiency of customer service in fast food.<\/p>\n<p>The system will be able to accurately estimate the number of people passing through different areas and obtain an average, minimum and maximum value of time for serving customers at different times of the day or such information regarding different time intervals. Always, it will be possible to use in tracking mobile bots. The system will operate in a PC operating environment, being connected to a variable number of webcams in an Ethernet network.<\/p>\n<p>Achieving the proposed objectives allows expanding the scope of use of several related fields, such as multimedia sequence image compression, video indexing for navigation, road traffic analysis, etc.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-5c06bb4\" data-id=\"5c06bb4\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c06e76 elementor-widget elementor-widget-stm_multy_separator\" data-id=\"5c06e76\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"stm_multy_separator.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<div class=\"multiseparator masterstudy_elementor_multy_separator_\"><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c06f05 elementor-widget elementor-widget-vc_custom_heading\" data-id=\"5c06f05\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"vc_custom_heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"vc_custom_heading  masterstudy_heading_font  text_align_left\" ><h3 style=\"text-align: left;font-weight:400\" class=\"masterstudy-custom-title\">PROJECT DATA\n<\/h3><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5c07098 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5c07098\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5c073bb\" data-id=\"5c073bb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5c0766b elementor-widget elementor-widget-stm_icon_box\" data-id=\"5c0766b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"stm_icon_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style type=\"text\/css\">\n            body:not(.home) .icon_box.module__ae4bca9688d8f42c0d1a46f9743db66a {\n                padding: 0;\n            }\n        .module__ae4bca9688d8f42c0d1a46f9743db66a {\n    background: !important; color:;\n}\n\n.module__ae4bca9688d8f42c0d1a46f9743db66a .icon {\n    width:25px;\n}\n.module__ae4bca9688d8f42c0d1a46f9743db66a .icon svg {\n\twidth: 25px;\n\theight: 25px;\n}\n.module__ae4bca9688d8f42c0d1a46f9743db66a .icon svg,\n.module__ae4bca9688d8f42c0d1a46f9743db66a .icon i {\n    font-size: 25px;\n    color: #044383 !important;\n}\n.icon_alignment_top_left .module__ae4bca9688d8f42c0d1a46f9743db66a {\n    text-align: left;\n}\n.icon_alignment_top_center .module__ae4bca9688d8f42c0d1a46f9743db66a {\n    text-align: center;\n    margin-right: auto;\n    margin-left: auto;\n}\n.icon_alignment_top_right .module__ae4bca9688d8f42c0d1a46f9743db66a {\n    text-align: right;\n    margin-right: 0;\n    margin-left: auto;\n}\n<\/style>\n\n\t<div class=\"icon_box masterstudy_elementor_icon_box  stm_icon_box_hover_none standart module__ae4bca9688d8f42c0d1a46f9743db66a box_align_left clearfix\">\n\t\t<div class=\"icon_alignment_left\">\n\t\t\t\t\t\t\t<div class=\"icon module__ae4bca9688d8f42c0d1a46f9743db66a\">\n\t\t\t\t\t\t\t\t\t\t\t<i class=\"fa fa-user\"><\/i>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"icon_text\">\n\t\t\t\t\t\t\t\t\t<h4 style=\"color:\">\n\t\t\t\t\t\tDirector\t\t\t\t\t<\/h4>\n\t\t\t\t\t\t\t\t<p>Assoc. prof. dr. eng. Florin ALEXA<\/p>\t\t\t<\/div>\n\t\t<\/div> <!-- align icons -->\n\t<\/div>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c0773b elementor-widget elementor-widget-stm_icon_box\" data-id=\"5c0773b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"stm_icon_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style type=\"text\/css\">\n            body:not(.home) .icon_box.module__d292c2ebdb42f0d2d64aff5a244a3f19 {\n                padding: 0;\n            }\n        .module__d292c2ebdb42f0d2d64aff5a244a3f19 {\n    background: !important; color:;\n}\n\n.module__d292c2ebdb42f0d2d64aff5a244a3f19 .icon {\n    width:25px;\n}\n.module__d292c2ebdb42f0d2d64aff5a244a3f19 .icon svg {\n\twidth: 25px;\n\theight: 25px;\n}\n.module__d292c2ebdb42f0d2d64aff5a244a3f19 .icon svg,\n.module__d292c2ebdb42f0d2d64aff5a244a3f19 .icon i {\n    font-size: 25px;\n    color: #044383 !important;\n}\n.icon_alignment_top_left .module__d292c2ebdb42f0d2d64aff5a244a3f19 {\n    text-align: left;\n}\n.icon_alignment_top_center .module__d292c2ebdb42f0d2d64aff5a244a3f19 {\n    text-align: center;\n    margin-right: auto;\n    margin-left: auto;\n}\n.icon_alignment_top_right .module__d292c2ebdb42f0d2d64aff5a244a3f19 {\n    text-align: right;\n    margin-right: 0;\n    margin-left: auto;\n}\n<\/style>\n\n\t<div class=\"icon_box masterstudy_elementor_icon_box  stm_icon_box_hover_none standart module__d292c2ebdb42f0d2d64aff5a244a3f19 box_align_left clearfix\">\n\t\t<div class=\"icon_alignment_left\">\n\t\t\t\t\t\t\t<div class=\"icon module__d292c2ebdb42f0d2d64aff5a244a3f19\">\n\t\t\t\t\t\t\t\t\t\t\t<i class=\"fa fa-calendar\"><\/i>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\n\t\t\t<div class=\"icon_text\">\n\t\t\t\t\t\t\t\t\t<h4 style=\"color:\">\n\t\t\t\t\t\tPeriod\t\t\t\t\t<\/h4>\n\t\t\t\t\t\t\t\t<p>2005<\/p>\t\t\t<\/div>\n\t\t<\/div> <!-- align icons -->\n\t<\/div>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c077f4 elementor-widget elementor-widget-stm_icon_box\" data-id=\"5c077f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"stm_icon_box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style type=\"text\/css\">\n            body:not(.home) .icon_box.module__8340a3f3817f0653627e22ad75d49036 {\n                padding: 0;\n            }\n        .module__8340a3f3817f0653627e22ad75d49036 {\n    background: !important; 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Corneliu I. TOMA, Prof. Dr. Eng. Vasile GUI, Lect.dr.eng. Mugura\u0219 MOCOFAN, Lect.eng. Catalin CALEANU, Assistant Eng. Andy VESA, Assistant Eng. Ciprian DAVID, Assistant Eng. Artur MULLER, Eng. Codrut IANASI, Eng. Andreea GALEANU, Stud. Daniela CLIM<\/p>\t\t\t<\/div>\n\t\t<\/div> <!-- align icons -->\n\t<\/div>\n\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>CNCSIS grant No. 27688\/14.03.05, CODE 600, type A, Object tracking estimation in video sequences No. 27688\/14.03.05 Scopul lucr\u0103rii este de a dezvolta un sistem de operare robust \u0219i \u00een timp real. Sistemul trebuie s\u0103 fac\u0103 fa\u021b\u0103 mediilor aglomerate. Acest lucru se va realiza prin urm\u0103toarele contribu\u021bii: o detectie de background, folosind estimarea densit\u0103\u021bii de kernel [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cybocfi_hide_featured_image":"","footnotes":""},"categories":[73],"tags":[],"class_list":["post-755","post","type-post","status-publish","format-standard","hentry","category-proiecte-nationale"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>CNCSIS grant No. 27688\/14.03.05, CODE 600, type A, Object tracking estimation in video sequences - Centrul Multimedia<\/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:\/\/cm.upt.ro\/en\/proiecte-nationale\/cncsis-grant-no-27688-140305code-600-type-a-object-tracking-estimation-in-video-sequences\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CNCSIS grant No. 27688\/14.03.05, CODE 600, type A, Object tracking estimation in video sequences - Centrul Multimedia\" \/>\n<meta property=\"og:description\" content=\"CNCSIS grant No. 27688\/14.03.05, CODE 600, type A, Object tracking estimation in video sequences No. 27688\/14.03.05 Scopul lucr\u0103rii este de a dezvolta un sistem de operare robust \u0219i \u00een timp real. Sistemul trebuie s\u0103 fac\u0103 fa\u021b\u0103 mediilor aglomerate. 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