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 ...

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 ...

Dr. Mohamed Naiel received the PhD degree in Electrical and Computer Engineering from Concordia University, Montreal, QC, ...

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 ...

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 ...

A computer vision system will determine different ... Here, convolutional neural networks come into play. They help detect and segment objects of the needed classes in the photos," said the ...