His research interests include robotic and active vision, visual tracking, SLAM, human motion capture and intelligent visual surveillance, with an emphasis on real-time implementations whenever possible. Increasingly his work is impacted by, and contributes to machine learning, especially at the intersection of machine learning and computer vision and robotics.