The Vision And Security Technology (VAST) lab, directed by Dr. T. Boult, is actively pursuing research in both vision and security. Particular areas of research depend on both funding and students' interests. We currently have funding (either direct or with company partners) from NSF in Computer Vision, NSF Smart and Connected Health, IARPA JANUS (UMD lead), Google, Samsung. Past funding includes ONR, Rome Labs (Air Force), US Army Research Labs, Missle Defense Agency, US Department of Education, and NISSSC, with multiple pending proposals. We are working with local industry in Colorado Springs, and work with/support many of the teams in the UCCS Bachelor of Innovation program. Dr. Boult also works with multiple students that have their own funding and hence can direct their own work.
Facilities and Equipment:
The Vision and Security Technology (VAST) lab at UCCS occupies approximately 1800 sq. ft. plus an external server room. The lab has over a dozen multi-core servers, including a 48-core server with 512GB of RAM, and several high-end Nvidia GPUs suitable for deep learning tasks. The lab has over 60TB of storage, mostly in RAID configurations. The UCCS team also has access to the UCCS Cyber-security Datacenter, with a 128-core blade center with another 40TB of storage. The lab has accounts for Amazon Web Services (AWS) and access to XSEDE for larger scale computing, if needed.
Most student desks in the lab have dual-core or quad-core PC-class computers, though some students have laptops to simplify mobile / field work.
The lab has wide array of industrial research cameras as well as specialized cameras including multiple pan-tilt-zoom cameras and three camera-equipped mobile robots, including an early iRobot Packbot. The lab also has a collection of camera-equipped smartphones and tablets.
In a separate lab space with ample room for user study experiments an OptiTrack external infrared tracking system has been installed. This system can be used for acquisition of high-accuracy ground truth position and orientation measurements and head/body tracking for virtual reality experiments.
To learn more, visit the VAST lab website.