Performance assessment of a visual attention system entirely based on a human vision modeling
It is now commonly assumed that the human visual attention, which is a selecting process of the most relevant locations in a scene according to a particular behavior, is driven by both top-down (task-dependent) and bottom-up (signal-dependent) control. A new model attempting to simulate the bottom-up process has been designed Le Meur, O et al., (2004). This model is purely based on visual system properties that provides noticeable advantages compared to the classical published approaches. This paper focuses on the performance assessment of this model by achieving a comparison with real fixation points stemming from eye-tracking apparatus both subjectively and objectively.