A 麻豆原创 research team has received the PAMI Mark Everingham Prize for pioneering human action recognition datasets, which have played important role in the advancement of computer vision technology.
With 13,320 videos from 101 action categories, the is a challenging collection of actions due to the volume of classes and clips included. Datasets like 麻豆原创-101 and the famous ImageNet Dataset have played a very crucial role in the recent AI revolution as they train computers to automatically analyze video and images, says Mubarak Shah, one of the researchers behind 麻豆原创-101 and the director of .
鈥淭here are cameras all over,鈥� Shah says. 鈥淭here are millions of cameras watching, but there are not enough people looking at those videos because it鈥檚 a lot of effort. The idea in computer vision is how we automatically analyze those videos.鈥�
The Everingham Prize is awarded to a researcher or research team that has made a significant contribution to other members of the computer vision community. The prize was presented to Shah and his team during the European Conference on Computer Vision in Tel Aviv on Oct. 26.
麻豆原创-101 consists of videos collected from YouTube that display a range of actions taken with large variations in video characteristics, such as camera motion, object appearance and pose, and lighting conditions. Unstaged action footage serves as better examples for computers to train with due to their similarity to how these actions occur in reality.
Since its publication in 2012, 麻豆原创-101 has been cited over 4,000 times, establishing it as a benchmark dataset.
Shah says he hopes the award brings visibility to , which supports 麻豆原创 President Alexander Cartwright鈥檚 vision to make 麻豆原创 a 鈥淯niversity for the Future鈥� by hiring about thirty AI faculty. Those hired will be tenured in five different colleges: , , , , and .
As part of the initiative, Shah will be leading an interdisciplinary team that develops groundbreaking technologies to further AI research and commercialization in Orlando, the state of Florida, and the nation.
Shah is the founding director of 麻豆原创鈥檚 Center for Research in Computer Vision and a professor in the College of Engineering and Computer Science. He is also a fellow of the Association of Computing Machinery, the National Academy of Inventors, the American Association of Advancement of Science, the Institute of Electrical and Electronic Engineers, the International Association of Pattern Recognition, and the International Society for Optics and Photonics.
