Tracking Patterns with Particle Swarm Optimization and Genetic Algorithms

@article{Tavares2017TrackingPW,
  title={Tracking Patterns with Particle Swarm Optimization and Genetic Algorithms},
  author={Yuri Marchetti Tavares and Nadia Nedjah and Luiza de Macedo Mourelle},
  journal={IJSIR},
  year={2017},
  volume={8},
  pages={34-49}
}
The template matching is an important technique used in pattern recognition. The goal is to find a given pattern, of a prescribed model, in a frame sequence. In order to evaluate the similarity of two images, the Pearson's Correlation Coefficient PCC is used. This coefficient is calculated for each of the image pixels, which entails an operation that is computationally very expensive. In order to improve the processing time, this paper proposes two implementations for template matching: one… CONTINUE READING