The Computer Vision Group at Colorado State University was started in 1993 and is focused on semantic understanding of people, objects and activities from still images and videos. The deeply challenging nature of these tasks consistently leads us to address computer vision in the broader context of artificial intelligence, integrating techniques from machine learning, alegebraic topology, empirical evaluation and statistics. Our goal is to use these techniques to develop computer vision systems whose behaviors are both reliable and understood.
News 6-21-2014:The Subspace Mean and Median Evaluation Toolkit (SuMMET) has been released to the web in support of the CVPR 2014 paper the Subspace Mean or Median to Fit Your Need.
News 02-28-2014: Our Robust Staged RANSAC Tracking (RSRT) Software is available.