Latent Constrained Correlation Filter.
IEEE Transactions on Image Processing(2018)
摘要
Correlation filters are special classifiers designed for shift-invariant object recognition, which are robust to pattern distortions. The recent literature shows that combining a set of sub-filters trained based on a single or a small group of images obtains the best performance. The idea is equivalent to estimating variable distribution based on the data sampling (bagging), which can be interpret...
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关键词
Correlation,Training,Optimization,Convex functions,Robustness,Object detection
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