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• W1183177352 abstract "Digital in combination with computer vision opens new possibilities forout-of-home advertisement. By determining certain characteristics of observers(e.g. gender, age) the information presented to them may be adjusted accord-ing to their expected preferred interest. To denote the process of detecting,characterizing and responding to the observer we introduce the term digitalcharacterization as our system significantly reaches over the existing so calleddigital signage systems that only presents information without detecting andcharacterizing the observers. Digital characterization in real time has becomepossible due to the development of the image analysis methods and the devel-opment of the widely available computer equipment. A computer system fordigital characterization is described. It is an intelligent system for displayingselected visual information on a computer screen. The system tracks and char-acterizes the viewers by analyzing the images of their faces taken by a cameraattached to the screen, using the computer vision methods in real time. It alsoperforms logging and analysis of recorded data. Main components of the sys-tem are the player and the main server. The player performs characterizationof the viewers which can be used for adjusting the information on the screen.The main server performs selection of the presented information and manip-ulates the data. Detection and tracking of several observers is performed inreal time. In face characterization we use the Principal Component Analysis(PCA) and the data mining environment Orange. Characterization of the ob-server's gender from their face is specially treated. The following methods ofmachine learning are applied and inter-compared in the Orange environment:naive Bayes, K-nearest neighbors, classification tree and random forest. Apart of FERET face image library is used as learning and test sets. Selectedmethods are implemented for real time application on a PC. Gender of an ob-server can be determined in 17,9 ms with 83,3% reliability using random forestclassifier. A web application for managing of the system and for generatingreports is developed, including statistical analysis and visualization of data.The system is designed for standard computer and video equipment. For thisreason it is practically applicable wherever we want to adapt the informationto the viewer: in education, medical institutions, marketing, etc" @default.
• W1183177352 created "2016-06-24" @default.
• W1183177352 creator A5061284559 @default.
• W1183177352 date "2009-06-15" @default.
• W1183177352 modified "2023-09-26" @default.
• W1183177352 title "Digital characterization using computer vision in real-time" @default.
• W1183177352 hasPublicationYear "2009" @default.
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