PhD forum: Correlation coefficient based template matching for indoor people tracking

Author

Junzhi Guan ; Van Hese, P. ; Nino-Castaneda, J.O. ; Gruenwedel, S. ; Van Haerenborgh, Dirk ; Van Cauwelaert, Dimitri ; Veelaert, Peter ; Philips, Wilfried

Author_Institution

Image Process. &Interpretation, Ghent Univ., Ghent, Belgium

fYear

2012

fDate

Oct. 30 2012-Nov. 2 2012

Firstpage

1

Lastpage

2

Abstract

One of the most popular methods to extract information from an image sequence is template matching. The principle of template matching is tracking a certain feature or target over time based on the comparison of the content of each frame with a simple template. In this article, we propose an correlation coefficient based template matching which is invariant to linear intensity distortions to do correction or verification of our existing indoor people tracking system [1].

Keywords

correlation methods; image matching; image retrieval; image sequences; object tracking; PhD forum; correlation coefficient based template matching; feature tracking; image sequence; indoor people tracking system; information extraction; linear intensity distortions; target tracking; Cameras; Computer vision; Correlation; Educational institutions; Image processing; Lighting; Servers;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Smart Cameras (ICDSC), 2012 Sixth International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4503-1772-6

Type

conf

Filename

6470167