{"id":751,"date":"2019-08-23T15:17:44","date_gmt":"2019-08-23T15:17:44","guid":{"rendered":"http:\/\/sar-lab.net\/?p=751"},"modified":"2019-08-23T15:17:44","modified_gmt":"2019-08-23T15:17:44","slug":"a-combined-vision-based-multiple-object-tracking-and-visual-odometry-system","status":"publish","type":"post","link":"https:\/\/sar-lab.net\/?p=751","title":{"rendered":"A Combined Vision-Based Multiple Object Tracking and Visual Odometry System"},"content":{"rendered":"<p>Over the past year, we have built on our visual odometry algorithm (which I shared in an earlier post and made the source code public) to develop a multi-object tracking algorithm capable of tracking objects in the 3D world from the moving camera observer.&nbsp;An example of where this&nbsp;may be useful is for self-driving vehicles to detect moving objects (other cars) that are on a collision course.<\/p>\n<p>We have written this research up in a research paper, which has been accepted this week into the IEEE Sensors Journal. It will take a few weeks for it to appear on IEEE Xplore.&nbsp;<\/p>\n<p><em>Mohamed Aladem, S. A. Rawashdeh, &#8220;A Combined Vision-Based Multiple Object Tracking and Visual Odometry System&#8221;, IEEE Sensors Journal.&nbsp;Accepted 8\/2019.&nbsp;<\/em><\/p>\n<p>Below is a video demo. Credit to Mohamed Aladem, my Ph.D. student who is on track to graduate in mid-2020.&nbsp;<\/p>\n<p><iframe loading=\"lazy\" title=\"Multi-Object Tracking and Visual Odometry with 3D position estimation.\" width=\"771\" height=\"434\" src=\"https:\/\/www.youtube.com\/embed\/fh5dLF3dmr0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Over the past year, we have built on our visual odometry algorithm (which I shared in an earlier post and made the source code public) to develop a multi-object tracking algorithm capable of tracking objects in the 3D world from the moving camera observer.&nbsp;An example of where this&nbsp;may be useful is for self-driving vehicles to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[],"class_list":["post-751","post","type-post","status-publish","format-standard","hentry","category-machine-vision"],"_links":{"self":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/posts\/751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=751"}],"version-history":[{"count":0,"href":"https:\/\/sar-lab.net\/index.php?rest_route=\/wp\/v2\/posts\/751\/revisions"}],"wp:attachment":[{"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=751"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=751"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sar-lab.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}