In remote lecture, a teacher can know circumstances of remote classroom by the video image from the camera which is installed in remote classroom. However, the teacher has few face-to-face interactions with the learner of the remote classroom. In addition, it is often difficult for the teacher to identify the students of the remote classroom because the quality and angle of video-image is bad. We focus on a face recognition technology to make the video footage highly value-added media as smooth communication media. We are developing a prototype system which supports to recognize the students and to control a video camera by using face recognition technology.
In this paper, at the first, we pick up technical problem to apply the face recognition technology to the remote student video-shooting. Next, we propose an application model and face recognition data management technique in order to solve the problem. Lastly we describe an outline and trials of prototype system and concern the availability.
