An empirical comparison of DCNN libraries to implement the vision module of a Danger Management System
Abstract:
In this paper we discuss the feasibility of using a DCNN to implement Fall and Head detection for a Danger Management System. For this propose, AlexNet and Inception-v3 models in MatConvNet and TensorFlow libraries were used for training new DCNNs with Fine-Tuning method. Additionally, a new public dataset was created, which includes diverse fall poses, as well as, top views of people walking in a scene.
Año de publicación:
2017
Keywords:
- Fall detection
- Head detection
- MatConvNet
- TensorFlow
- Dcnn
- Danger management systems
Fuente:
scopus
googleTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Visión por computadora
- Ciencias de la computación
Áreas temáticas:
- Métodos informáticos especiales
- Ciencias de la computación
- Funcionamiento de bibliotecas y archivos
