{"id":19127,"date":"2021-01-22T22:17:29","date_gmt":"2021-01-23T03:17:29","guid":{"rendered":"http:\/\/bangla.salearningschool.com\/recent-posts\/must-watch-courses-on-multiple-object-tracking\/"},"modified":"2021-01-22T22:17:29","modified_gmt":"2021-01-23T03:17:29","slug":"must-watch-courses-on-multiple-object-tracking","status":"publish","type":"post","link":"http:\/\/bangla.sitestree.com\/?p=19127","title":{"rendered":"Must watch courses on Multiple Object Tracking."},"content":{"rendered":"<p>This video is part of a lecture series about Multiple Object Tracking. It has six parts,<\/p>\n<p>1. Introduction to Multi-object Tracking, <a href=\"https:\/\/www.youtube.com\/watch?v=ay_QLAHcZLY&amp;list=PLadnyz93xCLhSlm2tMYJSKaik39EZV_Uk\">https:\/\/www.youtube.com\/watch?v=ay_QL&#8230;<\/a> 2. Single-object Tracking in Clutter, <a href=\"https:\/\/www.youtube.com\/watch?v=UpXpUjgqhTw&amp;list=PLadnyz93xCLiHWjLcLFdzc-SidNL1kRF7\">https:\/\/www.youtube.com\/watch?v=UpXpU&#8230;<\/a> 3. Tracking n Objects in Clutter, <a href=\"https:\/\/www.youtube.com\/watch?v=MdW251jzc18&amp;list=PLadnyz93xCLiCBQq1105j5Jeqi1Q6wjoJ\">https:\/\/www.youtube.com\/watch?v=MdW25&#8230;<\/a> 4. Random Finite Sets, <a href=\"https:\/\/www.youtube.com\/watch?v=y3nIzpihkOw&amp;list=PLadnyz93xCLhFinI8NO30-1e6SwCGRTIM\">https:\/\/www.youtube.com\/watch?v=y3nIz&#8230;<\/a> 5. MOT Using Conjugate Priors, <a href=\"https:\/\/www.youtube.com\/watch?v=m3dsosy3Z8E&amp;list=PLadnyz93xCLjl51PzSoFhLLSp2hAYDY0H\">https:\/\/www.youtube.com\/watch?v=m3dso&#8230;<\/a> 6. Outlook &#8211; What&#8217;s Next?, <a href=\"https:\/\/www.youtube.com\/watch?v=rolckWON8Xo&amp;list=PLadnyz93xCLh0Wm8jkQYCdwpyGFl2c-6a\">https:\/\/www.youtube.com\/watch?v=rolck&#8230;<\/a><\/p>\n<p>*** . *** *** . *** . *** . ***<\/p>\n<p><em><strong><em><strong>Courses: <\/strong><a href=\"http:\/\/training.sitestree.com\/\">http:\/\/Training.SitesTree.com<\/a> (Big Data, Cloud, Security, Machine Learning)<\/em><br \/>\nBlog<\/strong>: <a href=\"http:\/\/bangla.salearningschool.com\/\">http:\/\/Bangla.SaLearningSchool.com<\/a>, <a href=\"http:\/\/sitestree.com\">http:\/\/SitesTree.com<\/a><\/em><br \/>\n<em><strong>8112223 Canada Inc.\/JustEtc<\/strong>: <a href=\"http:\/\/JustEtc.net\">http:\/\/JustEtc.net<\/a><\/em><\/p>\n<p><em><strong>Shop Online: <\/strong><\/em><a href=\"http:\/\/www.shopforsoul.com\/\">https:\/\/www.ShopForSoul.com\/<\/a><br \/>\n<em><strong>Linkedin<\/strong>: <a href=\"https:\/\/ca.linkedin.com\/in\/sayedjustetc\">https:\/\/ca.linkedin.com\/in\/sayedjustetc<\/a><\/em><\/p>\n<p><strong>Medium<\/strong>: <a href=\"https:\/\/medium.com\/@SayedAhmedCanada\">https:\/\/medium.com\/@SayedAhmedCanada<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This video is part of a lecture series about Multiple Object Tracking. It has six parts, 1. Introduction to Multi-object Tracking, https:\/\/www.youtube.com\/watch?v=ay_QL&#8230; 2. Single-object Tracking in Clutter, https:\/\/www.youtube.com\/watch?v=UpXpU&#8230; 3. Tracking n Objects in Clutter, https:\/\/www.youtube.com\/watch?v=MdW25&#8230; 4. Random Finite Sets, https:\/\/www.youtube.com\/watch?v=y3nIz&#8230; 5. MOT Using Conjugate Priors, https:\/\/www.youtube.com\/watch?v=m3dso&#8230; 6. Outlook &#8211; What&#8217;s Next?, https:\/\/www.youtube.com\/watch?v=rolck&#8230; *** . *** &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"http:\/\/bangla.sitestree.com\/?p=19127\">Continue reading<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[182],"tags":[],"class_list":["post-19127","post","type-post","status-publish","format-standard","hentry","category---blog","item-wrap"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":17353,"url":"http:\/\/bangla.sitestree.com\/?p=17353","url_meta":{"origin":19127,"position":0},"title":"Misc Motion Learning and Prediction, Target Tracking, and related","author":"Sayed","date":"August 20, 2020","format":false,"excerpt":"An Introduction to Graph Neural Networks: Models and Applications https:\/\/www.youtube.com\/watch?v=zCEYiCxrL_0 Encoder-Decoder Recurrent Neural Network Models for Neural Machine Translation https:\/\/machinelearningmastery.com\/encoder-decoder-recurrent-neural-network-models-neural-machine-translation\/ Illustrated Guide to LSTM\u2019s and GRU\u2019s: A step by step explanation https:\/\/towardsdatascience.com\/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21 RNN\/LSTM\/GRU https:\/\/www.cs.toronto.edu\/~tingwuwang\/rnn_tutorial.pdf Maximum Likelihood Joint Tracking and Association in a Strong Clutter https:\/\/arxiv.org\/pdf\/1010.4236.pdf Multitarget tracking using maximum likelihood\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17325,"url":"http:\/\/bangla.sitestree.com\/?p=17325","url_meta":{"origin":19127,"position":1},"title":"Youtube Playlist: On AI, Target Tracking, Computer Vision, and Surveillance","author":"Sayed","date":"August 3, 2020","format":false,"excerpt":"(Youtube Playlist: On AI, Target Tracking, Computer Vision, and Surveillance) Youtube Playlist: https:\/\/lnkd.in\/efZMdV3 on Related Research Paper Study for Machine Learning Aided Track Management for Multitarget Tracking, Track Quality Management, Maneuvering target tracking-fuzzy-logic-RLSF, Tracking with random sample consensus in dense clutter, On Deep Learning Research for Multi-Object Tracking. A study\u2026","rel":"","context":"In &quot;\u09ac\u09cd\u09b2\u0997 \u0964 Blog&quot;","block_context":{"text":"\u09ac\u09cd\u09b2\u0997 \u0964 Blog","link":"http:\/\/bangla.sitestree.com\/?cat=182"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":20425,"url":"http:\/\/bangla.sitestree.com\/?p=20425","url_meta":{"origin":19127,"position":2},"title":"Eye-tracking Web Usability Test Sample","author":"Author-Check- Article-or-Video","date":"February 20, 2021","format":false,"excerpt":"Sample of an eye-tracking capture showing real-time gaze point of a single user. Sound and user's face not included in this video. From: http:\/\/sitestree.com\/?p=2488 Categories:Web UsabilityTags:Testing, Web Usability, Eye Tracker Post Data:2015-10-10 08:16:09","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":20477,"url":"http:\/\/bangla.sitestree.com\/?p=20477","url_meta":{"origin":19127,"position":3},"title":"Eye-tracking Web Usability Test Sample","author":"Author-Check- Article-or-Video","date":"February 21, 2021","format":false,"excerpt":"Sample of an eye-tracking capture showing real-time gaze point of a single user. Sound and user's face not included in this video. From: http:\/\/sitestree.com\/?p=2488 Categories:Web UsabilityTags:Testing, Web Usability, Eye Tracker Post Data:2015-10-10 08:16:09","rel":"","context":"In &quot;FromSitesTree.com&quot;","block_context":{"text":"FromSitesTree.com","link":"http:\/\/bangla.sitestree.com\/?cat=1917"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17261,"url":"http:\/\/bangla.sitestree.com\/?p=17261","url_meta":{"origin":19127,"position":4},"title":"Misc. Information on Multi-Target Tracking: Algorithm Comparisons","author":"Sayed","date":"June 24, 2020","format":false,"excerpt":"Misc. Information on Multi-Target Tracking: Algorithm Comparisons Any information on IMM-SD? Theoretically IMM-SD and IMM-MHT should provide equivalent performance in tracking Can be considered as an implementation of IMM-MHT However, simulation shows that IMM-SD performs better. How can IMM-SD achieve better performance than IMM-MHT? IMM-SD finds the global optimal where\u2026","rel":"","context":"In &quot;Tracking and Estimation for Good Cause&quot;","block_context":{"text":"Tracking and Estimation for Good Cause","link":"http:\/\/bangla.sitestree.com\/?cat=1916"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":74219,"url":"http:\/\/bangla.sitestree.com\/?p=74219","url_meta":{"origin":19127,"position":5},"title":"deep learning research for multi object tracking","author":"Sayed","date":"April 21, 2022","format":false,"excerpt":"https:\/\/youtu.be\/24qx-vIs6Kk","rel":"","context":"In &quot;From Youtube Channel&quot;","block_context":{"text":"From Youtube Channel","link":"http:\/\/bangla.sitestree.com\/?cat=1952"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/24qx-vIs6Kk\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19127","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19127"}],"version-history":[{"count":0,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=\/wp\/v2\/posts\/19127\/revisions"}],"wp:attachment":[{"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19127"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19127"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/bangla.sitestree.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19127"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}