Video: New Pedestrian-Detection System Could Be Used in Smart Cars

What if computers could recognize objects as well as the human brain could? Electrical engineers from the University of California, San Diego have been working on a way for computers to recognize objects just as well as the human brain. The researchers’ newly developed pedestrian detection system can perform in near real-time (2–4 frames per second) and with half the error of existing systems. The technology incorporates deep learning models and could have future applications in smart vehicles, robotics and image and video search systems. Pedestrian detection system developed in the Statistical Visual Computing Lab at UC San Diego. (Image via UC San Diego) “We’re aiming to build computer vision systems that will help computers better understand the world around them,” said Nuno Vasconcelos, electrical engineering professor at the UC…


Link to Full Article: Video: New Pedestrian-Detection System Could Be Used in Smart Cars