Digital Interactive Kanban Advertisement System Using Face Recognition Methodology

Autor:	Chu-Ja Chang, Feng-Yi Cheng, Gwo-Jia Jong
Rok vydání:	2013
Předmět:	Interactive advertising Engineering Multimedia business.industry media_common.quotation_subject Kanban Advertising General Medicine computer.software_genre Facial recognition system Adaboost algorithm Face (geometry) AdaBoost business computer Publicity media_common
Zdroj:	Computational Water, Energy, and Environmental Engineering. :26-30
ISSN:	2168-1570 2168-1562
DOI:	10.4236/cweee.2013.23b005
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fd451834b4d5de5421be9a008c45010f https://doi.org/10.4236/cweee.2013.23b005 Zobrazit plný text záznamu