Pedestrian detection has multiple applications as video surveillance, automatic driver-assistance systems in vehicles or visual control of access. This task is challenging due to presence of factors such as poor lighting, occlusion or uncertainty in the environment. Deep learning has reached many...
Enlace original:
http://repositoriodigital.uct.cl/handle/10925/2722
Peralta Márquez, Billy
,
Parra Coloma, Luciano
,
Caro Saldivia, Luis
,
IEEE
,
[Evaluation of Stacked Autoencoders for Pedestrian Detection]
,
Evaluation of Stacked Autoencoders for Pedestrian Detection
