M. P. Da-silva, V. Courboulay, A. Prigent, and P. Estraillier, Evaluation of preys / predators systems for visual attention simulation, VISAPP 2010 -International Conference on Computer Vision Theory and Applications, pp.275-282, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00485253

J. O. Eklundh and H. Christensen, Computer Vision: Past and Future, pp.328-340, 2001.
DOI : 10.1007/3-540-44577-3_23

A. Treisman and G. Gelade, A Feature-Integration Theory of Attention, Cognitive Psychology, vol.136, issue.12, pp.97-136, 1980.

L. Itti, C. Koch, E. Niebur, and O. , A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, pp.1254-1259, 1998.
DOI : 10.1109/34.730558

M. Z. Aziz and B. Mertsching, Fast and Robust Generation of Feature Maps for Region-Based Visual Attention, IEEE Transactions on Image Processing, vol.17, issue.5, pp.633-677, 2008.
DOI : 10.1109/TIP.2008.919365

E. T. Rolls and S. M. Stringer, Invariant visual object recognition: A model, with lighting invariance, Journal of Physiology-Paris, vol.100, issue.1-3, pp.43-62, 2006.
DOI : 10.1016/j.jphysparis.2006.09.004

R. Desimone and J. Duncan, Neural Mechanisms of Selective Visual Attention, Annual Review of Neuroscience, vol.18, issue.1, pp.193-222, 1995.
DOI : 10.1146/annurev.ne.18.030195.001205

G. Deco, A Neurodynamical cortical model of visual attention and invariant object recognition, Vision Research, vol.44, issue.6, pp.621-642, 2004.
DOI : 10.1016/j.visres.2003.09.037

Z. Ji and J. Weng, Where-What Network 1 : Where and What Assist Each Other Through Top-down Connections, IEEE 7th International Conference on Development and Learning, pp.61-66, 2008.
DOI : 10.1109/devlrn.2008.4640806

S. Ahmad, VISIT: An efficient computational model of human visual attention, 1992.

S. Frintrop, M. Klodt, and E. Rome, A real-time visual attention system using integral images, 5th International Conference on Computer Vision Systems (ICVS), 2007.

P. Viola and M. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2002.
DOI : 10.1023/B:VISI.0000013087.49260.fb
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.9805

N. D. Bruce and J. K. Tsotsos, Saliency, attention, and visual search: An information theoretic approach, Journal of Vision, vol.9, issue.3, p.5, 2009.
DOI : 10.1167/9.3.5
URL : http://doi.org/10.1167/9.3.5

O. , L. Meur, P. L. Callet, D. Barba, and D. Thoreau, A coherent computational approach to model bottom-up visual attention, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.5, pp.802-817, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00669578

B. W. Tatler, The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions, Journal of Vision, vol.7, issue.14, pp.1-17, 2007.
DOI : 10.1167/7.14.4