Hands-On Experience in Image Processing: The Automated Lecture Cameraman

Abstract

We present a system for live recorded lecture-based distance learning delivery that was designed and implemented based on the framework defined in A. Cavallaro et al, 2005. The system is built by students based on previous students' projects and is deployed in a real distance learning scenario. The video capturing process of a lecture is automated using a robotic camera that tracks the movements of a lecturer during the delivery of a traditional class. The robotic camera is guided by the results of an image processing module based on face detection. The video of the lecturer is synchronized with the presentation slides and with the audio of the lecture. The system was evaluated based on students' feedback.