A saliency-based bottom-up visual attention model for dynamicscenes analysis
This work proposes a model of visual bottom-up attention for dynamic scene analysis. Our work addsmotion saliency calculations to a neural network model withrealistic temporal dynamics [(e.g., building motion salienceon top of De Brecht and Saiki Neural Networks 19:1467–1474, (2006)]. The resulting...
- Autores:
-
Ramírez Moreno, David Fernando
Schwartz, Odelia
Ramirez Villegas, Juan Felipe
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/11584
- Acceso en línea:
- http://red.uao.edu.co//handle/10614/11584
- Palabra clave:
- Redes neuronales (Computadores)
Neural networks (Computer science)
Visual attention
Saliency map
Motion saliency
Neural network
Synaptic depression
Neural latency
Asymmetry phenomenon
Lyapunov stabilit
- Rights
- openAccess
- License
- Derechos Reservados - Universidad Autónoma de Occidente