Optimization model for face detection in video sequences
Vicente Enrique Machaca Arceda
Juan Carlos Gutiérrez Cáceres
Jorge Julián Rivera Tito
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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. | ||