Performance optimization of rotation-tolerant Viola–Jones-based blackbird detection

Automatic counting of birds in a bird deterrence field trial

“…Other studies have selected species of interest because they have high contrast to the background, for example, Snowy Egrets and White Pelicans against dark backgrounds (Bohn, Möhringer, Kőrösi, & Hovestadt, 2015;Huang, Boom, & Fisher, 2015;Nadimpalli, Price, Hall, & Bomma, 2006). Another way to make computer vision more effective is by decreasing the possible orientations of the animals, often accomplished by imaging the animals from above (Abd-Elrahman, Pearlstine, & Percival, 2005;Chabot & Francis, 2016;Jalil, Smith, & Green, 2018;Mammeri, Zhou, & Boukerche, 2016;Marti-Puig et al, 2018;Pérez-Escudero, Vicente-Page, Hinz, Arganda, & Polavieja, 2014;Stern, Zhu, He, & Yang, 2015). Constraining the images in these ways can be extremely helpful for computer vision, but limits the range of possible experimental designs for understanding animal behavior.…”