Using Deep Learning to Track the Behavior of Individual Insects
A new, deep learning-based software developed by researchers from the University of Central Florida (UCF) is able to track individual animals within the group, and even recognize their unique behavior and individual characteristics. The software, called AnimalTracker, is a breakthrough in animal tracking technology and could have important implications for the research and conservation of wildlife.
Researchers tested AnimalTracker on a herd of African buffaloes and found that the software was able to accurately track the individual animals in the herd and recognize their unique behavior. The software is also capable of recognizing individual characteristics, such as horn size, color, and even facial features. The researchers believe this technology could be used in the future to track and monitor wildlife populations, helping researchers and conservationists to better understand and protect animal species.
source: Phys.org