Application for analysis of promotions based on computer vision

Tomaž Kunst (2012) Application for analysis of promotions based on computer vision. EngD thesis.

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Abstract

In our work we present product based on computer vision for automatic analysis of persons in the vicinity of a promotion point. For execution we need a computer with camera and program for capturing real time video. We can use camera that is plugged in via USB port or remote network enabled camera. Firstly, we use Viola-Jones method for face detection.Later, we classify them based on gender. Support vector machine (SVM) in combination with principle component analysis (PCA) is used for classification and face features recognition. The classifier is built using image database of students pictures from University of Essex (GB). Achieved gender classification score is 84.75%. When faces cannot be detected, we use Lucas-Kanade method for following people. This approach helps us gain accurate data for number of persons who walked by. We monitor customer feedback on promotion. Final report includes data of predefined customer responses and classified data about them.

Item Type:

Thesis (EngD thesis)

Keywords:

face detection, gender classification, product, custumers analysis

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Peter Peer	294	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00009406036)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

1852

Date Deposited:

24 Sep 2012 10:04

Last Modified:

27 Sep 2012 13:41

URI:

http://eprints.fri.uni-lj.si/id/eprint/1852

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