How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …

摘要视觉跟踪在无人飞行器, 移动机器人, 智能监控等领域有着广泛的应用,
但由于目标外观和环境的变化, 以及背景干扰等因素的存在, 使得复杂场景下的鲁棒实时的目标 …

Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …

Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …

One challenge when tracking objects is to adapt the object representation depending on the
scene context to account for changes in illumination, coloring, scaling, etc. Here, we present …

This paper presents a novel fixation prediction and saliency modeling framework based on
inter-image similarities and ensemble of Extreme Learning Machines (ELM). The proposed …

Computer vision-based fire detection involves flame detection and smoke detection. This
paper proposes a new flame detection algorithm that is based on a saliency detection …

In this paper, we present a visual object tracker for mobile systems that is able to specialize
to individual objects during tracking. The core of our method is a novel observation model …

Imperceptibility and robustness are two complementary but fundamental requirements of
any watermarking algorithm. Low strength watermarking yields high imperceptibility but …

With the emerging interest in active vision, computer vision researchers have been
increasingly concerned with the mechanisms of attention. Therefore, a number of visual …