Recognizing objects and groups of objects is something we humans take for granted. For computers, this is far from straightforward. A European project has come up with novel solutions to this ...

Contextual object detection refers to methods that go beyond isolated recognition of objects by integrating information about their surroundings, inter-object relationships and scene semantics. Early ...

Multi-object tracking (MOT) lies at the heart of dynamic scene understanding in computer vision, with applications spanning autonomous vehicles, video surveillance, sports analytics and robotics. The ...

A question confronting neuroscientists and computer vision researchers alike is how objects can be identified by simply "looking" at an image. But teaching a computer to "know" what it's looking at is ...

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 ...

For decades, neuroscientists have been trying to design computer networks that can mimic visual skills such as recognizing objects, which the human brain does very accurately and quickly. Because ...

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 ...

We humans take for granted our remarkable ability to predict things that happen around us. For example, consider Rube Goldberg machines: One of the reasons we enjoy them is because we can watch a ...

ALWAYS seeing the world with fresh eyes can make it hard to find your way around. Giving computers the ability to recognise objects as they scan a new environment will let them navigate much more ...

The Active Directory Module for Windows PowerShell, which is included with Windows Server 2008 R2, can be used to administer Active Directory Domain Services (AD DS) objects, including computer ...