Automated audience polling on iPhone

Author

Heidari, Alireza ; Aarabi, P.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada

fYear

2013

fDate

5-8 May 2013

Firstpage

1

Lastpage

5

Abstract

A system for the automatic visual estimation of in-class polling using an iPhone is proposed which detects the number of faces within the field of view, the number of raised hands within the field of view, and uses the ratio as the estimate of the number of positive votes. The system utilizes the Adaboost object detection algorithm implemented in OpenCV, and processes all detected faces and raised hands, to determine whether each of the audience available in the scene are voting or not. Several examples with actual iPhone images are shown in order to illustrate the utility of the proposed system.

Keywords

computer vision; face recognition; learning (artificial intelligence); object detection; smart phones; Adaboost object detection algorithm; OpenCV; automated audience polling; automatic visual estimation; face detection; field of view; iPhone images; in-class polling; Computers; Detectors; Face detection; Object detection; Training; Visualization; Audience polling; iPhone programming; object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on

Conference_Location

Regina, SK

ISSN

0840-7789

Print_ISBN

978-1-4799-0031-2

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2013.6567814

Filename

6567814