Work

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

Year: 2012

Type: conference-paper

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.

Source: Ghent University Academic Bibliography (Ghent University)

Authors: Guan, Junzhi, Van Hese, Peter, Niño Castañeda, Jorge, Grünwedel, Sebastian, Van Haerenborgh, Dirk, Van Cauwelaert, Dimitri, Veelaert, Peter, Philips, Wilfried

Institutions: Ghent University, iMinds, HOGENT University of Applied Sciences and Arts

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: iMinds

OpenAlex ID: W1542314959

FWCI: 0.222

Cites: 4

Cited by: 4

Related to: 10