Using Adaboost Method for Face Detection and Pedestrian-flow Evaluation of Digital Signage

被引：3
|
作者：
Kuo, Shye-Chorng [1 ]
Lin, Cheng-Jian [2 ]
Peng, Chun-Cheng [2 ]
机构：
[1] Nan Kai Univ Technol, Dept Multimedia Animat & Applicat, Caotun 542, Nantou, Taiwan
[2] Natl Chin Yi Univ Technol, Dept Comp Sci & Informat Engn, Taichung 411, Taiwan
来源：
2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014) | 2014年
关键词：
Advertisement benefit evaluation; digital billboard; human face detection; pedestrian-flow statistics; Adaboost;
D O I：
10.1109/IS3C.2014.35
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Within modern society, digital signage, billboards, and signboards have been widely and successfully applied for sending various information and advertisement. However, how to evaluate the dispatched benefits is an extremely important issue for business owners. In order to tackle this problem, this paper proposes an effective evaluating system for digital billboard audiences. Via the build-in front-end camera, individual audiences' watched dates, time periods, halted durations and locations are able to be precisely recorded, and through these collected data the proposed evaluation system can provide statistical information to the authorized personnel for further assessing the relative benefits of specific billboard.
引用
收藏
页码：90 / 93
页数：4
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