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.

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 ...

Imagine being at the helm of a commercial vessel or part of a search-and-rescue team in rough seas at night. Radar is picking ...

they have become a key component of many computer vision applications. Among the key problems neural networks can solve is detecting and localizing objects in images. Object detection is used in ...

In this article, we will discuss how to apply computer vision technology ... finding objects in space is not enough. We have to identify the type of object (Object Detection), as well as how ...

Earlier this week Google announced its MobileNets family of lightweight computer vision models. These models can handle tasks like object detection, facial recognition and landmark recognition.

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 ...

Object recognition is one of the most widely studied problems in computer vision. But a robot that ... from object-detection and tracking to mapping," Glover says. "And ambiguity is really the ...