Infrared target detection using kernel Rayleigh quotient quadratic correlation filter
نویسندگان
چکیده
منابع مشابه
A Block Rayleigh Quotient Iteration with Local Quadratic Convergence
We present an iterative method, based on a block generalization of the Rayleigh Quotient Iteration method, to search for the p lowest eigenpairs of the generalized matrix eigenvalue problem Au = Bu. We prove its local quadratic convergence when B A is symmetric. The benefits of this method are the well-conditioned linear systems produced and the ability to treat multiple or nearly degenerate ei...
متن کاملAlternatives to the Rayleigh Quotient for the Quadratic Eigenvalue Problem
We consider the quadratic eigenvalue problem λ2Ax+ λBx+Cx = 0. Suppose that u is an approximation to an eigenvector x (for instance, obtained by a subspace method) and that we want to determine an approximation to the corresponding eigenvalue λ. The usual approach is to impose the Galerkin condition r(θ, u) = (θ2A+ θB +C)u ⊥ u, from which it follows that θ must be one of the two solutions to th...
متن کاملThe Rayleigh Quotient Iteration
The Rayleigh Quotient Iteration (RQI) was developed for real symmetric matrices. Its rapid local convergence is due to the stationarity of the Rayleigh Quotient at an eigenvector. Its excellent global properties are due to the monotonie decrease in the norms of the residuals. These facts are established for normal matrices. Both properties fail for nonnormal matrices and no generalization of th...
متن کاملLearning Rotation for Kernel Correlation Filter
Kernel Correlation Filters have shown a very promising scheme for visual tracking in terms of speed and accuracy on several benchmarks. However it suffers from problems that affect its performance like occlusion, rotation and scale change. This paper tries to tackle the problem of rotation by reformulating the optimization problem for learning the correlation filter. This modification (RKCF) in...
متن کاملAdjusting the Rayleigh Quotient in Semiorthogonal Lanczos Methods Adjusting the Rayleigh Quotient in Semiorthogonal Lanczos Methods
In a semiorthogonal Lanczos algorithm, the orthogonality of the Lanczos vectors is allowed to deteriorate to roughly the square root of the rounding unit, after which the current vectors are reorthogonalized. A theorem of Simon 4] shows that the Rayleigh quotient | i.e., the tridiagonal matrix produced by the Lanczos recursion | contains fully accurate approximations to the Ritz values in spite...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF INFRARED AND MILLIMETER WAVES
سال: 2012
ISSN: 1001-9014
DOI: 10.3724/sp.j.1010.2011.00142