To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Play VideoPlayMuteCurrent Time 0:00/Duration Time 0:00Loaded: 0%Progress: 0%Stream TypeLIVERemaining Time -0:00 Playback Rate1ChaptersChaptersdescriptions off, selectedDescriptionssubtitles off, selectedSubtitlescaptions off, selectedCaptionsAudio TrackFullscreenThis is a modal window. Captions Settings Dialog Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Opaque Background Color Black White Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Transparent Window Color Black White Red Green Blue Yellow Magenta Cyan Transparency Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Dropshadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Defaults Done Movie 1 Example of local background model implemented to automatically track the body alignment in caged songbird species using a computer vision algorithm. Magnetic body alignment in migratory songbirds: a computer vision approach Giuseppe Bianco, Robin Clemens Köhler, Mihaela Ilieva, and Susanne Åkesson Journal of Experimental Biology 2019. 222:None-None; doi: 10.1242/jeb.196469 Download Original Video