Support Vector Tracking

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2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1

Kauai, Hawaii

December 08-December 14

ISBN: 0-7695-1272-0

	ASCII Text	x
	Shai Avidan, "Support Vector Tracking," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 184, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001.

	BibTex	x
	@article{ 10.1109/CVPR.2001.990474, author = {Shai Avidan}, title = {Support Vector Tracking}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {1}, year = {2001}, issn = {1063-6919}, pages = {184}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990474}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Support Vector Tracking SN - 1063-6919 SP EP A1 - Shai Avidan, PY - 2001 KW - null VL - 1 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

Shai Avidan, MobilEye Vision Technologies

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990474

Support Vector Tracking (SVT) integrates the Support Vector Machine (SVM) classifier into an optic-flow based tracker. Instead of minimizing an intensity difference function between successive frames, SVT maximizes the SVM classification score. To account for large motions between successive frames we build pyramids from the support vectors and use a coarse-to-fine approach in the classification stage. We show results of using a homogeneous quadratic polynomial kernel-SVT for vehicle tracking in image sequences.

Citation:

Shai Avidan, "Support Vector Tracking," cvpr, vol. 1, pp.184, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001

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