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We describe a flexible and efficient architecture for generic object recognition system based on ensemble classifier in a field programmable gate array (FPGA) environment. We have shown previously utilizing a bag of covariance matrices as object descriptor improves the object recognition accuracy while speed up the learning process. We extend this technique, and present its hardware architecture,...
We describe an efficient architecture for generic object recognition system based on an ensemble classifier in a field programmable gate array (FPGA) environment. Utilization of a bag of covariance matrices as object descriptor improves the object recognition accuracy while speed up the learning process. We extend this technique, and present its hardware architecture, as well as object classifier...
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