Optimized Chamfer Matching for Snake-Based Image Contour Representations

Toronto, ON, Canada July 09-July 12

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http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262706

2006 IEEE International Conference on ...

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	Andras Hajdu, Athanasios Roubies, Ioannis Pitas, "Optimized Chamfer Matching for Snake-Based Image Contour Representations," Multimedia and Expo, IEEE International Conference on, pp. 1017-1020, 2006 IEEE International Conference on Multimedia and Expo, 2006.

	BibTex	x
	@article{ 10.1109/ICME.2006.262706, author = {Andras Hajdu and Athanasios Roubies and Ioannis Pitas}, title = {Optimized Chamfer Matching for Snake-Based Image Contour Representations}, journal ={Multimedia and Expo, IEEE International Conference on}, volume = {0}, year = {2006}, isbn = {1-4244-0366-7}, pages = {1017-1020}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262706}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Multimedia and Expo, IEEE International Conference on TI - Optimized Chamfer Matching for Snake-Based Image Contour Representations SN - 1-4244-0366-7 SP1017 EP1020 A1 - Andras Hajdu, A1 - Athanasios Roubies, A1 - Ioannis Pitas, PY - 2006 KW - null VL - 0 JA - Multimedia and Expo, IEEE International Conference on ER -

Andras Hajdu, Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece

Athanasios Roubies, Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece

Ioannis Pitas, Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece. e-mail: pitas@zeus.csd.auth.gr

In this paper we present a novel method on how to take advantage of the snake representation of target objects, when doing chamfer matching for detection/recognition purposes. In this case several time-consuming steps of classic chamfer matching approaches can be simplified. Moreover, we investigate the possibility of involving less pixels from both the target and template object to speed up computations. We introduce an optimization method for such an object reduction, which is valid also in the general application scheme of chamfer matching. Finally, we present our experimental results regarding human body detection.

Citation:

Andras Hajdu, Athanasios Roubies, Ioannis Pitas, "Optimized Chamfer Matching for Snake-Based Image Contour Representations," icme, pp.1017-1020, 2006 IEEE International Conference on Multimedia and Expo, 2006

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