Dynamic visual attention: competitive versus motion priority scheme
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The aim of this thesis is to build a system able to automatically and robustly track human motion in 3–D starting from monocular input. To this end two approaches are introduced, which tackle two different types of motion: The first is useful to analyze ac ...
Motion LoD (Level of Detail) is a preprocessing technique that generates multiple details of captured motion by eliminating joints. This LoD technique is applied to movie, game or VR environments for the purpose of improving speed of crowd animation. So fa ...
Collective motion is a remarkable phenomenon in biological systems. There have been several models in the literature to regenerate this type of motion, such as averaging consensus strategies where nodes continuously average the velocity vectors of their ne ...
Defined as an attentive process in the context of visual sequences, dynamic visual attention refers to the selection of the most informative parts of video sequence. This paper investigates the contribution of motion in dynamic visual attention, and specif ...
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 ...
In this paper, we propose a dynamic attentive system for detecting the most salient regions of interest in omnidirectional video. The spot selection is based on computer modeling of dynamic visual attention. In order to operate on video sequences, the proc ...
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When and where is visual motion processed in the human brain? This question is highly relevant considering the importance of motion for our perception of the dynamical world surrounding us. In the present work we studied motion processing, firstly through ...
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 ...
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 ...
Understanding the dynamics of how separate features combine to form holistic object representations is a central problem in visual cognition. Feature attribution (also known as feature transposition and feature inheritance) refers to the later of two stimu ...
