The design of intelligent crowd attention detection system based on face detection technology

As a key technology in modern society, face detection has become an active subject in the field of pattern recognition and computer vision. In this paper, we propose some applications of analyzing crowd attention based on face detection technology and realize a crowd attention detection system using Haar-like features and Adaboost algorithm. The system consists of image acquisition module, face detection module, display module and data analysis module. At the same time, we adopt the method of empirical research. Using the camera, combined with software named AMcap, the system captures images of crowed during the display of a video regularly. Then, the system detects the faces which are being concerned about this attractive video in images, circling and counting them. In addition, the system displays the data change graph of the crowd face at different moments, and finally calculates the mathematical expected value of crowd attention for further processing such as Big Data technology. After further processing, the system can obtain the data which reflects the degree of concern in a particular sector. Through the above experiment, Facts have proved that the system can easily, accurately and intuitively detect the crowd attention data and has great value in many sectors.