{"id":60,"date":"2009-05-13T14:46:49","date_gmt":"2009-05-13T04:46:49","guid":{"rendered":"http:\/\/www.computer-vision-software.com\/blog\/?p=60"},"modified":"2010-02-10T21:22:15","modified_gmt":"2010-02-10T11:22:15","slug":"tracking-overlapping-objects","status":"publish","type":"post","link":"http:\/\/www.computer-vision-software.com\/blog\/2009\/05\/tracking-overlapping-objects\/","title":{"rendered":"Tracking overlapping objects"},"content":{"rendered":"<p><object width=\"425\" height=\"355\"><param name=\"movie\" value=\"http:\/\/www.youtube.com\/v\/nvvaegox7PQ&amp;rel=0&amp;color1=0xd6d6d6&amp;color2=0xf0f0f0\"><\/param><param name=\"wmode\" value=\"transparent\"><\/param><embed src=\"http:\/\/www.youtube.com\/v\/nvvaegox7PQ&amp;rel=0&amp;color1=0xd6d6d6&amp;color2=0xf0f0f0\" type=\"application\/x-shockwave-flash\" wmode=\"transparent\" width=\"425\" height=\"355\"><\/object><\/p>\n<p><a onclick=\"javascript:pageTracker._trackPageview('\/outgoing\/www.computer-vision-software.com\/files\/videos\/overlapped_sonicfire.avi');\" title=\"overlapped_sonicfire.avi\"  href=\"http:\/\/www.computer-vision-software.com\/files\/videos\/overlapped_sonicfire.avi\" target=\"_self\">overlapped_sonicfire.avi<\/a><\/p>\n<p><strong>Description<\/strong><\/p>\n<p>This video demo illustrates color-histogram-based object tracker in action. CV system tracks people as moving blobs (\u201cclouds\u201d of moving pixels) identifies them and distinct one from another in case of occlusions. When two (or more) blobs are intersected, system merges them in one combined object and marks it by IDs of all those source-objects that currently included in the combination. When one of objects separates from the combination CV system recognize which one is out and re-arrange ID appropriately. This approach works pretty well in case of characteristic histograms.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>overlapped_sonicfire.avi Description This video demo illustrates color-histogram-based object tracker in action. CV system tracks people as moving blobs (\u201cclouds\u201d of moving pixels) identifies them and distinct one from another in case of occlusions. When two (or more) blobs are intersected, system merges them in one combined object and marks it by IDs of all those [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56,39,38,35],"tags":[43],"class_list":["post-60","post","type-post","status-publish","format-standard","hentry","category-demo","category-demo-video","category-demo-videos","category-youtube","tag-object-tracking"],"_links":{"self":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/posts\/60","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/comments?post=60"}],"version-history":[{"count":0,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/posts\/60\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/media?parent=60"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/categories?post=60"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.computer-vision-software.com\/blog\/wp-json\/wp\/v2\/tags?post=60"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}