Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient

Abstract

The template matching is an important technique used in pattern recognition. It aims at finding a given pattern within a frame sequence. Pearson's Correlation Coefficient (PCC) is widely used to evaluate the similarity of two images. This coefficient is computed for each image pixel, which entails a computationally very expensive process. This paper… (More)

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@article{Tavares2016HardwaresoftwareCS, title={Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient}, author={Yuri Marchetti Tavares and Nadia Nedjah and Luiza de Macedo Mourelle}, journal={2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)}, year={2016}, pages={1-6} }