Detection of visually salient image regions is useful for applications like object
segmentation, adaptive compression, and object recognition. In this paper, we introduce a …

Detection of salient image regions is useful for applications like image segmentation,
adaptive compression, and region-based image retrieval. In this paper we present a novel …

Based on concepts of the human visual system, computational visual attention systems aim
to detect regions of interest in images. Psychologists, neurobiologists, and computer …

Detection of visually salient image regions is useful for applications like object
segmentation, adaptive compression, and object recognition. Recently, full-resolution salient …

The predictions of 13 computational bottom-up saliency models and a newly introduced
Multiscale Contrast Conspicuity (MCC) metric are compared with human visual conspicuity …

Human detection is a key ability to an increasing number of applications that operates in
human inhabited environments or needs to interact with a human user. Currently, most …

In recent years, significant advances have been gained in visual detection, and an
abundance of outstanding models have been proposed. However, state-of-the-art object …

This paper is centered around landmark detection, tracking, and matching for visual
simultaneous localization and map** using a monocular vision system with active gaze …

Particle Swarm Optimisation (PSO) algorithm is a stochastic search technique, which has
exhibited good performance across a wide range of applications. However, very often for …

Areas of interest (AOIs) are a powerful basis for the analysis and visualization of eye-
tracking data. They allow to relate eyetracking metrics to semantic stimulus regions and to …