In brief: Thanks to machine learning, object detection has come a long way in recent years, but most models still perform best on low-resolution video images. Now, researchers at Carnegie Mellon ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

In a research paper, scientists from the Beijing Institute of Technology proposed an event-related potential (ERP) extraction method to solve the asynchronous problem of low-quality video target ...

Automated video detection is giving K-12 schools a crucial advantage in responding to a wide range of threats. Darron Parker, ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it’s ...