Resumen
We propose a Violent Flow (ViF) variation using Horn-Schunck instead of Iterative Reweighted Least Squares (IRLS) as optical flow algorithm and Support Vector Machine (SVM) as a classifier, we evaluated the performance in different datasets. In Hockey dataset Horn-Schunck had a better performance, but in Movies and Crowded datasets IRLS was better. We also evaluated the computational cost processing two frames, Horn-Schunck had a very low cost of 0.25 seconds against 7.80 seconds of IRLS enabling its use in real time.
Idioma original | Inglés |
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Estado | Publicada - 2016 |
Evento | International Conference on Pattern Recognition Systems, ICPRS 2016 - Talca, Chile Duración: 20 abr. 2016 → 22 abr. 2016 |
Conferencia
Conferencia | International Conference on Pattern Recognition Systems, ICPRS 2016 |
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País/Territorio | Chile |
Ciudad | Talca |
Período | 20/04/16 → 22/04/16 |