Quantitative behavioral measurements are important for answering questions across scientific
disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods offer …

The SMART-BARN (scalable multimodal arena for real-time tracking behavior of animals in
large numbers) achieves fast, robust acquisition of movement, behavior, communication, and …

Recent advances in machine learning and computer vision are revolutionizing the field of
animal behavior by enabling researchers to track the poses and locations of freely moving …

Using a motion-capture system and custom head-calibration methods, we reconstructed the
head-centric view of freely behaving pigeons and examined how they orient their head …

The core idea in an XR (VR/MR/AR) application is to digitally stimulate one or more sensory
systems (eg visual, auditory, olfactory) of the human user in an interactive way to achieve an …

Most tracking data encompasses humans, the availability of annotated tracking data for
animals is limited, especially for multiple objects. To overcome this obstacle, we present I-…

In the Shader Lamps concept, a projector-camera system augments physical objects with
projected virtual textures, provided that a precise intrinsic and extrinsic calibration of the …

Markerless methods for animal posture tracking have been developing recently, but frameworks
and benchmarks for tracking large animal groups in 3D are still lacking. To overcome …

Purpose The augmented reality (AR) fluoroscope augments an X-ray image by video and
provides the surgeon with a real-time in situ overlay of the anatomy. The overlay alignment is …

In Spatial Augmented Reality (SAR) applications, real world objects are augmented with virtual
content by means of a calibrated camera-projector system. A computer generated model (…