{"id":6,"date":"2018-12-11T04:41:50","date_gmt":"2018-12-11T04:41:50","guid":{"rendered":"http:\/\/mscvprojects.ri.cmu.edu\/2018team3\/?page_id=6"},"modified":"2018-12-11T06:11:06","modified_gmt":"2018-12-11T06:11:06","slug":"project-summary","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/project-summary\/","title":{"rendered":"Project Summary"},"content":{"rendered":"<p><strong>Platform Pittsburgh:<\/strong><\/p>\n<p><strong>Motivation:<\/strong><\/p>\n<ul>\n<li>Process intersection scenes for the following applications\n<ul>\n<li>Provide redundant data to self-driving cars which has limited FOV and processing power<\/li>\n<li>Analyze traffic for use by the government<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Objective:<\/strong><\/p>\n<p>Showcase a software system with computer vision components performing traffic analysis that can be accessed through a simple to use web interface<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-52\" src=\"http:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/capstone_pic1-300x117.png\" alt=\"\" width=\"623\" height=\"243\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/capstone_pic1-300x117.png 300w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/capstone_pic1-768x300.png 768w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/capstone_pic1-1024x399.png 1024w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/capstone_pic1.png 1218w\" sizes=\"auto, (max-width: 623px) 100vw, 623px\" \/><\/p>\n<p>Fig. 1. Overview of the system<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-55\" src=\"http:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/record-300x217.png\" alt=\"\" width=\"300\" height=\"217\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/record-300x217.png 300w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/record-768x556.png 768w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/record-1024x742.png 1024w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/record.png 1198w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-54\" src=\"http:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/process1-300x280.png\" alt=\"\" width=\"300\" height=\"280\" srcset=\"https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/process1-300x280.png 300w, https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/wp-content\/uploads\/sites\/5\/2018\/12\/process1.png 688w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Fig. 2. Appearance of the website<\/p>\n<p><strong>Deliverables:<\/strong><\/p>\n<ul>\n<li>Vehicle detection and tracking pipeline running on a heterogeneous system<\/li>\n<li>Web interface to record and process videos<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Platform Pittsburgh: Motivation: Process intersection scenes for the following applications Provide redundant data to self-driving cars which has limited FOV and processing power Analyze traffic for use by the government Objective: Showcase a software system with computer vision components performing traffic analysis that can be accessed through a simple to use web interface &nbsp; Fig. &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2018team3\/project-summary\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Project Summary&#8221;<\/span><\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Project Summary - Platform Pittsburgh<\/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:\/\/mscvprojects.ri.cmu.edu\/2018team3\/project-summary\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Project Summary - Platform Pittsburgh\" \/>\n<meta property=\"og:description\" content=\"Platform Pittsburgh: Motivation: Process intersection scenes for the following applications Provide redundant data to self-driving cars which has limited FOV and processing power Analyze traffic for use by the government Objective: Showcase a software system with computer vision components performing traffic analysis that can be accessed through a simple to use web interface &nbsp; 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