Digital Interactive Kanban Advertisement System Using Face Recognition Methodology  

作　　者：Feng-Yi Cheng Chu-Ja Chang Gwo-Jia Jong 

机构地区：[1]Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung

出　　处：《Computational Water, Energy, and Environmental Engineering》2013年第3期26-30,共5页水能与环境工程（英文）

摘　　要：Most of advertisement systems are presently still launch the publicity content by the static words and pictures. Recently, this static advertisement model will not be able to attract people’s attention more and more. Moreover, the static information content of advertisement system is limited because of the layout shown size. It can not also fully demonstrate the information content of advertisement system. In this paper, we develop a digital interactive kanban advertisement system using face recognition methodology to solve these problems. The system captures the person’s face through the camera. The digital advertisement content size is relevant by the person and camera observation locations. In this paper, we adopt the Adaboost algorithm to judge people face, and the system only need to grab the position of the face. The system doesn’t built expensive and complex equipment to reduce the system cost and enhance the system performance. This system can also achieve the same similar digital interactive advertising effectiveness.Most of advertisement systems are presently still launch the publicity content by the static words and pictures. Recently, this static advertisement model will not be able to attract people’s attention more and more. Moreover, the static information content of advertisement system is limited because of the layout shown size. It can not also fully demonstrate the information content of advertisement system. In this paper, we develop a digital interactive kanban advertisement system using face recognition methodology to solve these problems. The system captures the person’s face through the camera. The digital advertisement content size is relevant by the person and camera observation locations. In this paper, we adopt the Adaboost algorithm to judge people face, and the system only need to grab the position of the face. The system doesn’t built expensive and complex equipment to reduce the system cost and enhance the system performance. This system can also achieve the same similar digital interactive advertising effectiveness.

关 键 词：FACE Recognition KANBAN ADVERTISEMENT ADABOOST INTERACTIVE 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]