{"id":171297,"date":"2014-02-12T09:36:40","date_gmt":"2014-02-12T09:36:40","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/zootracer\/"},"modified":"2017-07-14T09:40:40","modified_gmt":"2017-07-14T16:40:40","slug":"zootracer","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/zootracer\/","title":{"rendered":"zootracer"},"content":{"rendered":"

Use consumer video equipment to trace animal movement.<\/p>\n

Zootracer is software developed at Microsoft Research, capable of accurately tracking multiple, unmarked, interacting individuals in arbitrary video footage. As the software is independent of recording devices, the user may provide recordings from any habitat type. With its intended ability to robustly cope with variations in lighting, camera movement and changes in object appearance, Zootracer represents a step forward in facilitating the collection and analysis of behaviour not just for laboratory experiments, but more importantly, for biologists in the field.<\/p>\n

ZooTracer source code\u00a0on GitHub: https:\/\/github.com\/Microsoft\/ZooTracer (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Use consumer video equipment to trace animal movement. Zootracer is software developed at Microsoft Research, capable of accurately tracking multiple, unmarked, interacting individuals in arbitrary video footage. As the software is independent of recording devices, the user may provide recordings from any habitat type. With its intended ability to robustly cope with variations in lighting, […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13562,13546],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-171297","msr-project","type-msr-project","status-publish","hentry","msr-research-area-computer-vision","msr-research-area-computational-sciences-mathematics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2014-02-12","related-publications":[],"related-downloads":[235117],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Vassily Lyutsarev","user_id":34498,"people_section":"Group 1","alias":"vassilyl"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171297"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171297\/revisions"}],"predecessor-version":[{"id":400181,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171297\/revisions\/400181"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171297"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171297"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171297"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171297"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}