Publication

Adaptive visual attention model

Related publications (45)

Act Quickly, Decide Later: Long-latency Visual Processing Underlies Perceptual Decisions but Not Reflexive Behavior

Humans largely guide their behavior by their visual representation of the world. Recent studies have shown that visual information can trigger behavior within 150 msec, suggesting that visually guided responses to external events, in fact, precede consciou ...

2011

Multimodal Cue Detection Engine for Orchestrated Entertainment

Petr Motlicek, Danil Korchagin

In this paper, we describe a low delay real-time multimodal cue detection engine for a living room environment. The system is designed to be used in open, unconstrained environments to allow multiple people to enter, interact and leave the observable world ...

Idiap2011

Dynamic Visual Attention on the Sphere

Pierre-André Farine, Heinz Hügli, Iva Bogdanova Vandergheynst, Alexandre Bur

In this paper we present a computational model of dynamic visual attention on the sphere which combines static (intensity,chromaticity, orientation) and motion features in order to detect salient locations in omnidirectional image sequences while working d ...

Elsevier2010

Functional specialization and dynamic resource allocation in visual cortex

Gijs Plomp

We studied the spatiotemporal characteristics of cortical activity in early visual areas and the fusiform gyri (FG) by means of magnetoencephalography (MEG). Subjects performed a visual classification task, in which letters and visually similar pseudolette ...

Wiley-Blackwell2010

Fast Hand Gesture Recognition based on Saliency Maps: An Application to Interactive Robotic Marionette Playing

Mostafa Ajallooeian

In this paper, we propose a fast algorithm for gesture recognition based on the saliency maps of visual attention. A tuned saliency-based model of visual attention is used to find potential hand regions in video frames. To obtain the overall movement of th ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Visual Attention on the Sphere

Heinz Hügli, Iva Bogdanova Vandergheynst, Alexandre Bur

Human visual system makes an extensive use of visual attention in order to select the most relevant information and speed-up the vision process. Inspired by visual attention, several computer models have been developped and many computer vision application ...

2008

Visual Attention on the Sphere

Heinz Hügli, Iva Bogdanova Vandergheynst, Alexandre Bur

Human visual system makes an extensive use of visual attention in order to select the most relevant informations and speed-up the vision process. Inspired by visual attention, several computer models have been developped and many computer vision applicatio ...

2008

Motion Integration in Visual Attention Models for Predicting Simple Dynamic Scenes

Heinz Hügli, Alexandre Bur

Visual attention models mimic the ability of a visual system, to detect potentially relevant parts of a scene. This process of attentional selection is a prerequisite for higher level tasks such as object recognition. Given the high relevance of temporal a ...

2007

Linea vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision

Heinz Hügli, Alexandre Bur

In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. While several combination strategies are possible and the choice of a method in ...

Elsevier2006

Which Colors Best Catch Your Eyes: a Subjective Study of Color Saliency

Touradj Ebrahimi, Elisa Drelie Gelasca

To determine Regions of Interest (ROI) in a scene, percep-tual saliency of regions has to be measured. When scenes are viewed with the same context and motivation, these ROIs are often highly correlated among different people. As a result, it is possible t ...

SPIE2005

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