4 accepted papers
We present a low-cost, autonomous, rotating-camera system that increases the usable data yield for 3D markerless motion capture of animals in uncontrolled outdoor settings. A lightweight detector (YOLOv4-Tiny) locates the subject at 10 Hz; an Extended Kalman Filter bridges sparse detections to a 50 …
This paper introduces a framework for monocular 3D reconstruction of cheetah movements, leveraging a combination of data-driven and physics-based modeling as well as trajectory optimization. Unlike traditional methods that rely solely on kinematics, our approach integrates dynamic motion principles,…
Tracking the 3D motion of agile animals in the wild will enable new insight into the design of robotic controllers. However, in-field 3D pose estimation of high-speed wildlife such as cheetahs is still a challenge [1]. In this work, we aim to solve two of these challenges: unnatural pose estimates d…
Animals are capable of extreme agility, yet understanding their complex dynamics, which have ecological, biomechanical and evolutionary implications, remains challenging. Being able to study this incredible agility will be critical for the development of next-generation autonomous legged robots. In…