2010 年 39 巻 1 号 p. 53-60
In this study, a method for tracking a teacher and recording teaching scene automatically during class is proposed. When a teacher walks in a classroom, the walking trajectory of the teacher is non-linear, the distribution of the motion state is non-Gaussian and the target is non-rigid. Moreover, the representation of the teacher is constantly changing; these changes include the change in the shape and color of the representation, attributed to the fact that the teacher may turn around during class. In order to solve these visual tracking problems, two images are captured, one taken when the teacher faces the classroom and the other taken when the teacher faces the blackboard to develop the color reference histogram models. During tracking process, the tracker selects an approximate reference color histogram model on the basis of the direction of the face of the teacher to obtain the accurate tracking result. The particle filter algorithm is used to choose a set of samples (particles) and let their mean distributions approximate to the target. The experimental result shows that the proposed tracking method is stable and sufficiently effective for tracking teacher, even when the teacher turns around during class.
