The ability to attend to motion is paramount for living beings. The human visual system is able to detect coherent motion and select within multiple moving objects the most conspicuous or most relevant to the task at hand. Similarly, any artificial agent operating in dynamic environments needs to be endowed with a mechanism for rapid detection and prioritization of moving stimuli in its field o...

This paper presents a novel method for detection of image interest regions called Structure Guided Salient Regions (SGSR). Following the information theoretic route to saliency detection, we extend Kadir et al.’s Salient Region detector by exploiting image structure information. The detected SGSRs are highly distinct and very selective. For planar scenes, their performance on repeatability test...

This paper describes a user detection system which employs a saliency system working on an omnidirectional camera delivering a rough and fast estimate of the position of a potential user. It consists of a vision (skin color) and a sonar based component, which are combined to make the estimate more reliable. To make the skin color detection robust under varying illumination conditions, it is sup...

Visual system of human beings does not process the complete area of image rather focus upon limited area of visual image. But in which area does the visual attention focused is a topic of hot research nowadays. Research on psychological phenomenon indicates that attention is attracted to features that differ from its surroundings or the one that are unusual or unfamiliar to the human visual sys...

How do we ignore stimuli that are salient but irrelevant when our task is to select a lower salient stimulus? Since bottom-up processes favor high saliency, detection of a low-salient target in the presence of highly salient distractors requires top-down attentional guidance. Previous studies have demonstrated that top-down attention can modulate perceptual processing and also that the control ...

In recent years, several authors have reported that spectral saliency detection methods provide state-of-the-art performance in predicting human gaze in images (see, e.g., [1 3]). We systematically integrate and evaluate quaternion DCTand FFT-based spectral saliency detection [3,4], weighted quaternion color space components [5], and the use of multiple resolutions [1]. Furthermore, we propose ...

The purpose of this supplementary material is to examine in detail the contributions of our proposed Local Background Enclosure (LBE) feature. A comparison of LBE with the contrast based depth features used in state-of-the-art salient object detection systems is presented. The LBE feature is compared with the raw depth features ACSD [1], DC [3] and a signed version of DC denoted SDC on the RGBD...

The benefits of integrating attention and object recognition are investigated. While attention is frequently modeled as a pre-processor for recognition, we investigate the hypothesis that attention is an intrinsic component of recognition and vice-versa. This hypothesis is tested with a recognition model, the hierarchical discriminant saliency network (HDSN), whose layers are top-down saliency ...