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

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].

[1]  Arif Mahmood,et al.  Correlation-Coefficient-Based Fast Template Matching Through Partial Elimination , 2012, IEEE Transactions on Image Processing.

[2]  Michel Dhome,et al.  Real Time Robust Template Matching , 2002, BMVC.

[3]  M. Worring,et al.  Occlusion robust adaptive template tracking , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[4]  Wilfried Philips,et al.  Decentralized tracking of humans using a camera network , 2011, Electronic Imaging.