Signals & systems (2nd ed.)
The Architecture of Cognition
Journal of Cognitive Neuroscience
Neurally inspired mechanisms for the dynamic visual attention map generation task
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Accumulative computation method for motion features extraction in active selective visual attention
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Hi-index | 0.00 |
In this paper a special focus on the relationship between sensitivity and stability in a dynamic selective visual attention method is described. In this proposal sensitivity is associated to short-term memory and stability to long-term memory, respectively. In first place, all necessary mechanisms to provide sensitivity to the system are included in order to succeed in keeping the attention in our short-term memory. Frame to frame attention is captured on elements constructed from image pixels that fulfill the requirements established by the user and gotten after feature integration. Then, stability is provided by including mechanisms to reinforce attention, in such a way that elements that accept the user's predefined requirements are strengthened up to be configured as the system attention centre stored in our long-term memory.