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IMAGE FUSION USING PCA IN CS DOMAIN
TLDR
We propose a new efficient image fusion method for compressed sensing imaging that provides promising fusion performance in visual comparison and comparison using objective measures. Expand
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Improvement of compressive sampling based approaches in images fusion
TLDR
We propose an efficient image fusion method for compressed sensing imaging that provides promising fusion performance with low computational complexity. Expand
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Video classification by fusing two-stream image template classification and pretrained network
TLDR
Three new methods are introduced to convert the problem of human activity recognition in video into image templates classification. Expand
Human activity recognition by using MHIs of frame sequences
TLDR
A motion history image MHI is a temporal template that collapses temporal motion information into a single image in which intensity is a function of recency of motion. Expand
Human activity recognition by using MHIs of frame sequences
TLDR
A motion history image (MHI) is a temporal template that collapses temporal motion information into a single image in which intensity is a function of recency of motion. Expand