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pro vyhledávání: '"Waldmann, Urs"'
Autor:
Waldmann, Urs, Chan, Alex Hoi Hang, Naik, Hemal, Nagy, Máté, Couzin, Iain D., Deussen, Oliver, Goldluecke, Bastian, Kano, Fumihiro
Markerless methods for animal posture tracking have been rapidly developing recently, but frameworks and benchmarks for tracking large animal groups in 3D are still lacking. To overcome this gap in the literature, we present 3D-MuPPET, a framework to
Externí odkaz:
http://arxiv.org/abs/2308.15316
Autor:
Waldmann, Urs, Chan, Alex Hoi Hang, Naik, Hemal, Nagy, Máté, Couzin, Iain D., Deussen, Oliver, Goldluecke, Bastian, Kano, Fumihiro
Publikováno v:
International Journal of Computer Vision; Oct2024, Vol. 132 Issue 10, p4235-4252, 18p
