TY - GEN
T1 - Consciousness-driven model for visual attention
AU - Cagnac, Pierre
AU - Di Noia, Noël
AU - Huang, Chao Hui
AU - Racoceanu, Daniel
AU - Chaudron, Laurent
PY - 2011
Y1 - 2011
N2 - A consciousness-driven visual attention model is presented in this paper. It is based on a bio-inspired computer fovea model and a hierarchical analysis for the given visual receptive field. Indeed, the bio-inspired computer fovea model is used to simulate the neural activity on the human visual system, and the hierarchical analysis provides a function to explore the information on the given visual scene. The proposed model can evaluate the contents on the scene and automatically highlights visually important regions. This model can be used in various applications, such as surveillance, visual navigation and target acquisition, etc.
AB - A consciousness-driven visual attention model is presented in this paper. It is based on a bio-inspired computer fovea model and a hierarchical analysis for the given visual receptive field. Indeed, the bio-inspired computer fovea model is used to simulate the neural activity on the human visual system, and the hierarchical analysis provides a function to explore the information on the given visual scene. The proposed model can evaluate the contents on the scene and automatically highlights visually important regions. This model can be used in various applications, such as surveillance, visual navigation and target acquisition, etc.
UR - https://www.scopus.com/pages/publications/80054759806
U2 - 10.1109/IJCNN.2011.6033340
DO - 10.1109/IJCNN.2011.6033340
M3 - Conference contribution
AN - SCOPUS:80054759806
SN - 9781457710865
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 1061
EP - 1066
BT - 2011 International Joint Conference on Neural Networks, IJCNN 2011 - Final Program
T2 - 2011 International Joint Conference on Neural Network, IJCNN 2011
Y2 - 31 July 2011 through 5 August 2011
ER -