Three-dimensional object tracking and pose estimation represent a pivotal area of research in computer vision, with applications ranging from augmented reality to autonomous navigation and robotics.

Conventional markerless tracking methods struggle with body part misestimations or missing estimates in crowded spaces. In vmTracking, markerless multi-animal tracking is performed on a video ...

As virtual and augmented reality steadily advance in both visual fidelity and headset comfort, researchers continue to work on input solutions that will feel more natural than holding controllers.