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 ...

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

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...

Humanoid robot David is perceiving a cup using his RGB-D camera; in the following, he will grasp it and fill the dishwasher. Tracking objects and kinematic structures in 3D space and determining their ...

NEW DELHI – India plans to test its first indigenously designed radar system – the Multi Object Tracking Radar (MOTR) – in June, a space scientist says. The system will be tested during a launch of ...

The invention "Deep-learning method for multi-object tracking from video" was granted a utility patent by the United States Patent and Trademark Office (USPTO). The Viettel Artificial Intelligence and ...

Use left and right arrow keys to seek audio. Adobe developed technology that enables persistent virtual objects in multi-user AR experiences. The technology tracks the location of other devices to ...