Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …

Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …

Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

Individual identification is a crucial step to answer many questions in evolutionary biology
and is mostly performed by marking animals with tags. Such methods are well‐established …

Optical deep learning based on diffractive optical elements offers unique advantages for
parallel processing, computational speed, and power efficiency. One landmark method is …

The first response exhibited by animals to changing environments is typically behavioral.
Behavior is thus central to predicting, and mitigating, the impacts that natural and …

Automatic identification of individual animals is an important step towards achieving
accurate breeding histories, significant contributions to breeding and genetic management …

Studying animal behaviour allows us to understand how different species and individuals
navigate their physical and social worlds. Video coding of behaviour is considered a gold …

Estimating the pose of multiple animals is a challenging computer vision problem: frequent
interactions cause occlusions and complicate the association of detected keypoints to the …