Optimization model for face detection in video sequences

Published in: Engineering Innovations for Global Sustainability: Proceedings of the 14th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference: July 20-22, 2016
Location of Conference: San Jose, Costa Rica
Authors: Karla Mariel Fernández Fabián
Vicente Enrique Machaca Arceda
Juan Carlos Gutiérrez Cáceres
Jorge Julián Rivera Tito
Refereed Paper: #125

Abstract:

This paper aims to provide a contribution to facial recognition systems with video cameras in real time, as the most common problems and their solution methods are identified to minimize errors and improve quality in both final results percentages certainty in detecting and minimizing processing time and computational cost, because thanks to the parallelization process that offers CUDA, will be easier to optimize the results.