Detection of attention behavior for marketing information system

For marketing research, it is important to know what customers are interested in, and to evaluate the effectiveness of advertisements. Nowadays, marketing information regarding the evaluation of advertisements is mainly obtained from researchers\´ activities, which are difficult and time consuming. The research activities can be improved by use of surveillance systems with computer vision technologies. In this paper, a marketing information system that detects customers\´ attention behavior with computer vision is proposed. Cameras are attached to the display that presents advertisements in the system. Thus, the proposed method mainly consists of frontal face detection with "Four-Directional Features (FDF)" and calculating the spatial position of a face by stereovision. It is supposed that this system enables long time surveillance and uniform evaluation of presented advertisements. In addition, it is easy to distinguish which advertisements attract the most attention. Experimental results show that this system can detect attention behavior.