Object detection in videos using principal component pursuit and convolutional neural networks
Object recognition in videos is one of the main challenges in computer vision. Several methods have been proposed to achieve this task, such as background subtraction, temporal differencing, optical flow, particle filtering among others. Since the introduction of Convolutonal Neural Networks (CNN)...
Main Author: | Tejada Gamero, Enrique David |
---|---|
Other Authors: | Rodríguez Valderrama, Paul Antonio |
Format: | Dissertation |
Language: | English |
Published: |
Pontificia Universidad Católica del Perú
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/20.500.12404/11982 |
Similar Items
-
Object detection in videos using principal component pursuit and convolutional neural networks
by: Tejada Gamero, Enrique David
Published: (2018) -
Diseño e implementación de un módulo de reconocimiento de números manuscritos
by: Garrido Rojas, Eduart Rudolf
Published: (2011) -
Segmentación de Imágenes mediante encapsulación de sus componentes
by: Javier Montenegro Joo
Published: (2010-07-01) -
Desarrollo de una aplicación para la predicción de ingredientes y recetas de cocina por medio de TensorFlow y máquinas de soporte vectorial
by: Yeny Muñoz-Castaño, et al.
Published: (2020-10-01) -
Application on semantic segmentation with few labels in the detection of water bodies from PERUSAT-1 satellite's images
by: Gonzalez Villarreal, Jessenia Margareth Marina
Published: (2020)