Sentence examples for human visual attention from inspiring English sources

Saliency uses the human visual attention mechanism to achieve the bottom-up object detection.

First, it is based on the computational architecture of human visual attention.

Based on human visual attention mechanisms, an automatic detection algorithm for infrared dim target is presented.

Dogs' ability to recognise cues of human visual attention was studied in different experiments.

To model human visual attention, several visual saliency models have been recently proposed in the literature [20, 21, 22].

This concept is based on four basic principles of human visual attention and is supported by psychological evidence.

At the same time, a multitude of physiological and behavioral findings have been published, measuring various aspects of human and non-human primate visual attention.

That is, through simulation of the human visual system, visual attention mechanism can help us from a lot of complex images to quickly find the information "been worth noting" of the image to find critical information, and to eliminate a lot of useless information.

In Study 2 the same dogs were offered the possibility to beg for food from two unfamiliar humans whose visual attention (i.e. facing the dog or turning away) was systematically varied.

Video object relevance metrics are presented taking into account the behaviour of the human visual system and the visual attention mechanisms.

Visual attention of the human visual system can make humans easily focus on key points in a complex picture, and the visual attention algorithm has been used in many fields.