• I see you, no really see you!
    You are not just being recorded….you are being watched.Since the early 1950s humans have been plagued with promise that all jobs and tasks would eventually be taken over by a machine. Well, thanks to...

A bug’s eye view provided by digital cameras

Digital cameras have long been trying to replicate what is seen by the human eye. Now technology is advancing into what can be seen by a bug’s eye. These new devices are aimed to be capable of achieving a panoramic view with a sharp focus that can be seen at any distance.

Tutorial: Using CamShift to Track Objects in Video

TUTORIAL: Dead simple object tracking tutorial with line-by-line code explanations using Python, OpenCV, and the CamShift algorithm.

Goal or No Goal, that is the question

The Goal-Line system can track the motion of the ball up to 500 images per second. The supporting computer vision software tracks the movement of all objects on the pitch in all the images and filters out the players, referees and all disturbing objects.

How augmented reality will change sports

Chris Kluwe wants to look into the future of sports and think about how technology will help not just players and coaches, but fans. Here the former NFL punter envisions a future in which augmented reality will help people experience sports as if they are directly on the field — and maybe even help them see others in a new light, too.

DeepFace: Facebook's face verification algorithm

The Facebook team adopted Deep Learning to apply to their face verification algorithm in lieu of well engineered features which is common in majority of contributions in this field.

Stephen Wolfram introduces the Wolfram Language

For image processing and computer vision applications, the Wolfram Language provides built-in support for both programmatic and interactive modern industrial-strength image processing—fully integrated with the Wolfram Language's powerful mathematical and algorithmic capabilities.