{"id":367,"date":"2017-08-17T13:54:07","date_gmt":"2017-08-17T13:54:07","guid":{"rendered":"http:\/\/crowdflow.phys.tue.nl\/wordpress\/?page_id=367"},"modified":"2017-09-21T08:05:31","modified_gmt":"2017-09-21T08:05:31","slug":"deep-learning-based-localization","status":"publish","type":"page","link":"https:\/\/crowdflow.phys.tue.nl\/wordpress\/projects\/tracking-technology\/deep-learning-based-localization\/","title":{"rendered":"Deep learning based localization"},"content":{"rendered":"<a href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/wp-content\/uploads\/2017\/08\/2017CorbettaTGFML3.pdf\" class=\"pdfemb-viewer\" style=\"\" data-width=\"max\" data-height=\"max\"  data-toolbar=\"bottom\" data-toolbar-fixed=\"off\">2017CorbettaTGFML3<br\/><\/a>\n<p>This poster has been presented at the conference Traffic and Granular Flows &#8217;17 (Washington DC, Jul. 17). For more details and citation please refer to<\/p>\n<ul class=\"fa-ul\">\n<li>\n<blockquote><p><a href=\"https:\/\/arxiv.org\/abs\/1706.02850\">A. Corbetta, V. Menkovski, F. Toschi,&nbsp;<span class=\"entry-diff\">Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields,&nbsp;14th IEEE International Conference on Advanced Video and Signal based Surveillance, 2017<\/span><\/a><\/p><\/blockquote>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This poster has been presented at the conference Traffic and Granular Flows &#8217;17 (Washington DC, Jul. 17). For more details and citation please refer to A. Corbetta, V. Menkovski, F. Toschi,&nbsp;Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields,&nbsp;14th IEEE International Conference on Advanced Video and Signal based Surveillance, &hellip; <a href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/projects\/tracking-technology\/deep-learning-based-localization\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Deep learning based localization&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":362,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mi_skip_tracking":false,"ngg_post_thumbnail":0},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Deep learning based localization - Crowdflow Research Group<\/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:\/\/crowdflow.phys.tue.nl\/wordpress\/projects\/tracking-technology\/deep-learning-based-localization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep learning based localization - Crowdflow Research Group\" \/>\n<meta property=\"og:description\" content=\"This poster has been presented at the conference Traffic and Granular Flows &#8217;17 (Washington DC, Jul. 17). For more details and citation please refer to A. Corbetta, V. Menkovski, F. 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