Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions

Cambridge UK August 23-August 26

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http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333859

17th International Conference on Patt ...

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	Meghna Singh, Mrinal Mandal, Anup Basu, "Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions," Pattern Recognition, International Conference on, vol. 4, pp. 661-664, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004.

	BibTex	x
	@article{ 10.1109/ICPR.2004.1333859, author = {Meghna Singh and Mrinal Mandal and Anup Basu}, title = {Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions}, journal ={Pattern Recognition, International Conference on}, volume = {4}, year = {2004}, issn = {1051-4651}, pages = {661-664}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333859}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions SN - 1051-4651 SP661 EP664 A1 - Meghna Singh, A1 - Mrinal Mandal, A1 - Anup Basu, PY - 2004 KW - null VL - 4 JA - Pattern Recognition, International Conference on ER -

Meghna Singh, University of Alberta, Edmonton, Canada

Mrinal Mandal, University of Alberta, Edmonton, Canada

Anup Basu, University of Alberta, Edmonton, Canada

Object tracking algorithms extensively found in literature are either constrained with assumptions or are overly sensitive to noise. We propose and successfully test two new weighting functions for a feature-based object tracker to achieve superior tracking performance and noise immunity. Also presented is a mechanism for image based optimal weighting function determination.

Citation:

Meghna Singh, Mrinal Mandal, Anup Basu, "Robust KLT Tracking with Gaussian and Laplacian of Gaussian Weighting Functions," icpr, vol. 4, pp.661-664, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004

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