Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished detection capabilities due to ...

Visual object tracking comprises a spectrum of methodologies designed to locate and follow a target’s position across sequential video frames. Over the years, the field has developed from traditional ...

Researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) have introduced a pair of high-tech tools that could improve the safety and reliability of autonomous vehicles by ...

The company says its new guide covers AI’s role in the industry, particularly deep learning, in changing the global recycling ...

Langen/Germany -- August 24, 2020 --- Socionext Inc. and a research group at Osaka University Institute for Datability Science, led by Professor Hajime Nagahara, have jointly developed a new method of ...

The GoPro Quik App Simplifies the 360 Mobile Editing Experience, Bringing AI Object Tracking, Keyframing, Digital Lens Options, Preset CameraFXs, Cloud-Hosted Edits and More to Your Phone Professional ...