Keywords
image correlation
Walsh transform система видеосопровождения
корреляция изображений
преобразование Уолша
How to Cite
Abstract
The paper deals with the problem of increasing the object tracking system accuracy by reducing the delay in the tracked object coordinates determination block. The computationally complex object images correlation is computed when determining coordinates. For computational complexity reduction it is proposed to use fast Walsh transform (FWT), by which a dyadic correlation function is computed, witch, afterwards, is converted to cyclic using sparse factored matrices. Due to low FWT computational complexity and matrix factorization, the proposed correlation computation method has better performance comparing to existing methods. References 3, figure 1.
References
Cheholin P.M., Poida V.N., Konchak V.S., Sadykhov R.Kh. Matrychnye operatory sviazy aryfmetycheskoi y lohycheskoi korreliatsyonnoi funktsyy // Vychyslitelnaia tekhnika v mashynostroenii. – 1973. – Pp. 143–148. (Rus.)
Gibbs J.E., Pichler F.R. Comments on Transformation of ”Fourier” Power Spectra into “Walsh” Power Spectra // IEEE Transaction on Electromagnetic Compatibility. 1971. Vol. EMC-13. No 3. Pp. 51–55.
Kalal Z., Matas J., Mikolajczyk K. Online learning of robust object detectors during unstable tracking // On-line Learning for Computer Vision Workshop. 2009. No 3, 5, 7.
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