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Automatic recognition of multiple targets with varying velocities using quadratic correlation filters and Kalman filters
Automatic target recognition (ATR) systems require detection, recognition, and tracking
algorithms. The classical approach is to treat these three stages separately. In this paper, we …
algorithms. The classical approach is to treat these three stages separately. In this paper, we …
Clutter performance and confuser rejection on infrared data using distortion-invariant filters for ATR
R Patnaik, D Casasent - Automatic Target Recognition XVIII, 2008 - spiedigitallibrary.org
We consider automatic target recognition (ATR) in infrared (IR) imagery using the minimum
noise and correlation energy (MINACE) distortion-invariant filter (DIF). As in our prior work …
noise and correlation energy (MINACE) distortion-invariant filter (DIF). As in our prior work …
[كتاب][B] Optimal classifier ensembles for improved Biometric Verification
K Venkataramani - 2007 - Citeseer
In practical biometric verification applications, we expect to observe a large variability of
biometric data. Single classifiers have insufficient accuracy in such cases. Fusion of multiple …
biometric data. Single classifiers have insufficient accuracy in such cases. Fusion of multiple …
Minace filter infrared target tracking, recognition, and rejection tests with aspect view, depression angle, and scale variations
R Patnaik, D Casasent - Automatic Target Recognition XVII, 2007 - spiedigitallibrary.org
We examine the sensitivity of minimum noise and correlation energy (MINACE) filters to
three different types of distortion variations (aspect view, depression angle, and scale) that …
three different types of distortion variations (aspect view, depression angle, and scale) that …
Distortion-invariant kernel filters for general pattern recognition
R Patnaik, D Casasent - Optical Pattern Recognition XIX, 2008 - spiedigitallibrary.org
We note several key general pattern recognition (GPR) issues that have been ignored in all
prior distortion-invariant kernel filter (kernel DIF) work. These include: the unrealistic …
prior distortion-invariant kernel filter (kernel DIF) work. These include: the unrealistic …
Automatic target recognition performance losses in the presence of atmospheric and camera effects
The importance of networked automatic target recognition systems for surveillance
applications is continuously increasing. Because of the requirement of a low cost and limited …
applications is continuously increasing. Because of the requirement of a low cost and limited …
A new SVM for scale, aspect, and depression angle tolerant IR object recognition
In most ATR applications, objects are not only present with thermal and aspect view angle
variations, its size (range) also changes as the sensor approaches the target, and …
variations, its size (range) also changes as the sensor approaches the target, and …
Phenomenological modeling of surface roughness for predicting reflection from targets
LB Wolff - Automatic Target Recognition XVII, 2007 - spiedigitallibrary.org
Exact wave theories of specular reflectance from rough surfaces are computationally
intractable thus motivating the practical need for geometric reflectance models which treat …
intractable thus motivating the practical need for geometric reflectance models which treat …