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This paper presents a deep-pipelined FPGA implementation of real-time ellipse estimation for eye tracking. The system is constructed by the Starburst algorithm on a stream-oriented architecture and the RANSAC algorithm without any external memories. In particular, the paper presents comparative results between three different hypothesis generators for the RANSAC algorithm based on Cramer's rule, Gauss-Jordan...
In this paper, deep pipelined FPGA implementation of a real-time image-based human detection algorithm is presented. By using binary patterned HOG features, AdaBoost classifiers generated by offline training, and some approximation arithmetic strategies, our architecture can be efficiently fitted on a low-end FPGA without any external memory modules. Empirical evaluation reveals that our system achieves...
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