Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Additionally, there’s facial recognition, an advanced form of object detection that can detect and identify human faces. As mentioned, computer vision is a subset of machine learning ...

At least, that’s the theory that the newest brainchild spinning out of the MIT Media lab, Ubicept ... you run that same video through a computer vision object recognition engine: The ...

Those display frames are then run through a computer vision-based object detection algorithm like You Only Look Once (YOLO) that has been trained to find human-shaped enemies in the image (or at ...

which can be used to train computer vision systems (e.g., facial recognition, object detection) more cheaply and with less risk of violating privacy. It can also be used to label training data ...

The study shows that the new method speeds detection up considerably ... researchers trained their computer vision algorithms on a data set of 975 images of mine-like objects.

Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities ... Figure 1: Self-driving cars could benefit from enhanced ...

The Multi-frame Moving Object Detection System ... being able to detect and track one pixel at a time is a major advance in computer vision technology,” Ma said. “MMODS has been proven ...