Articulo
Action recognition in video using sparse coding and relative features
2016 Ieee Conference On Computer Vision And Pattern Recognition (CVPR)
Registro en:
1151077
1151077
Autor
Alfaro, Anali
Mery, Domingo
Soto, Alvaro
Institución
Resumen
This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method to handle intra-class variations by decomposing each video into a reduced Regular FONDECYT FONDECYT