Adaptive composite filters for pattern recognition in linearly degraded and noisy scenes
Author:
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Engineering,Atomic and Molecular Physics, and Optics
Reference24 articles.
1. Performance measures for correlation filters
2. Design of filters to detect a noisy target in nonoverlapping background noise
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5. Bayesian theory for target location in noise with unknown spectral density
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2. Tracking Multiple Objects with Locally Adaptive Generalized Optimum Correlation Filters;Journal of Communications Technology and Electronics;2020-06
3. Object tracking with composite optimum filters using non-overlapping signal models;Applications of Digital Image Processing XLI;2018-09-17
4. A correlation-based algorithm for detecting linearly degraded objects using noisy training images;Applications of Digital Image Processing XLI;2018-09-17
5. Reliable Recognition of Partially Occluded Objects with Correlation Filters;Mathematical Problems in Engineering;2018
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