Stochastic complexity integral image based technique for fast video tracking
Optics Letters, Vol. 33, Issue 21, pp. 2521-2523 (2008)
http://dx.doi.org/10.1364/OL.33.002521
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Abstract
We propose a new method based on the minimization of the stochastic complexity for fast and efficient tracking adapted to video images with a static camera. The obtained criterion combines the advantages of background-subtraction-based techniques and those of using measures of similarities to a target model without requiring any tuning of a weighting parameter. It is then demonstrated that this approach can be implemented with a fast integral image technique to estimate the location and the rectangular shape of the target in a few milliseconds.
© 2008 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(110.4280) Imaging systems : Noise in imaging systems
(100.4999) Image processing : Pattern recognition, target tracking
ToC Category:
Image Processing
History
Original Manuscript: July 22, 2008
Manuscript Accepted: September 17, 2008
Published: October 28, 2008
Citation
Jean-François Boulanger, Frédéric Galland, Pascal Martin, and Philippe Réfrégier, "Stochastic complexity integral image based technique for fast video tracking," Opt. Lett. 33, 2521-2523 (2008)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-33-21-2521
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