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...

Full description

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