The field of computer vision seeks to develop automated systems that can approximate human vision both in terms of perception and understanding.
In the videos above, Dr. Mircea Nicolescu and Dr. George Bebis test a new statistical method that can help computer vision systems distinguish key objects, such as people or cars, against a moving background.
Research into computer vision is one strand of the department's research in intelligent systems. The department also has an active research program in robotics, with areas of focus in robot learning, intent recognition and machine learning.
Browse a list of representative research projects on our projects page:
Primary Contact: Yaakov Varol
Major Focus: Artificial intelligence and behavior modeling for the Cyber Conflict Research Consortium.
Primary Contacts: George Bebis and Mircea Nicolescu
Major Focus: Object recognition, visual motion analysis, 3-D reconstruction, face detection/recognition, biometrics, tracking and pose estimation projects of human body/head/ hand/eye-gaze, surveillance and human activity recognition.
Website: Computer Vision Laboratory Website
Primary Contact: Bobby D. Bryant and David Feil-Seifer
Major Focus: Training and analysis of autonomous intelligent agents.
Website: Neuroevolution and Behavior Laboratory Website
Primary Contact: Monica Nicolescu and David Feil-Seifer
Major Focus: Mobile and articulated robotics, multi-agent systems, machine learning, motion planning, human-robot interaction, biologically inspired robotics, and human activity recognition.
Website: Robotics Laboratory Website