Visual attention

In the context of Advanced Driver Assistance System (ADAS), a lot of studies have been done during the last decade [1], [2], [3], [4]. Some of these studies have been devoted

3: Fixations generated by the proposed model and the corresponding saliency maps: (a) Image M (from the MIT Saliency Benchmark) with the first 50 fixations (b) The mag- nified

Human gaze is under the control of the brain that process data not only on available visual input but also according to its mental structures (memory, goals,.. As an example of

In this paper we focus on the theory of visual atten- tion introduced in (Bundesen 1990), where visual recogni- tion and attentional selection are considered as the task of

The results show that the filtering of the features based on the image saliency is able to drastically reduce the number of keypoints used by the system with an improvement or just

OBJECTIVE VALIDATION OF A DYNAMICAL AND PLAUSIBLE COMPUTATIONAL MODEL OF VISUAL ATTENTION.. IEEE European workshop on visual information processing, Jul 2011,

Visual attention mechanisms have also been broadly used in a great number of active vision models to guide fovea shifts [20]. Typically, log-polar or foveated imaging techniques

Another striking difference is that while in the across hemifields configuration, the temporal dynamics of attentional unfolding is very similar between shift and stay conditions