Visual attention detection method and device based on lateral inhibition

A visual attention and detection method technology, applied in the field of computer vision, can solve the problems of not fully simulating the visual attention mechanism of the human brain, reducing the effectiveness and practicability of the computer visual attention mechanism

Active Publication Date: 2020-07-28
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

At present, the visual attention mechanism in the field of computer vision technology mainly includes the selective attention mechanism and the salient target attention mechanism, but neither of these two attention mechanisms can completely simulate the visual attention mechanism of the human brain, which reduces the effectiveness and effectiveness of the computer vision attention mechanism. Practicality

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  • Visual attention detection method and device based on lateral inhibition
  • Visual attention detection method and device based on lateral inhibition
  • Visual attention detection method and device based on lateral inhibition

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Embodiment Construction

[0078] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0079] Biocognitive neuroscience shows that there are various connections in the brain, such as feedforward, feedback and lateral connections. When a visual input is given, the activated neurons in the brain will first compete with each other, and the result is that some neurons win, and some neurons fail or are in a disadvantaged state. This kind of competition is carried out layer by layer, and finally reaches the semantic layer. draw a preliminary conclusion. Based on preliminary conclusions, the brain realigns and organizes information to support the conclusions reached. Cognitive psychology describes this process as: information flows t...

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Abstract

The present invention relates to the technical field of computer vision, specifically provides a visual attention detection method and device based on lateral inhibition, and aims to solve how to improve the effectiveness and practicability of computer vision attention mechanism. For this purpose, the visual attention detection method among the present invention comprises the steps of: obtaining the image category of the target image; obtaining the feedback information received by each activation function neuron; judging whether to close the corresponding activation function neuron according to the feedback information; After closing the corresponding activation function neuron according to the judgment result, the response value of the activation function neuron is normalized to obtain the selective attention result map; the selective attention result map is normalized to obtain the salient target detection Result graph. The technical scheme of the present invention is based on the convolutional neural network, and can utilize the feedforward and feedback information of the convolutional neural network to realize the information detection of the target object. Meanwhile, the device in the present invention can execute and realize the above steps.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a method and device for detecting visual attention based on lateral inhibition. Background technique [0002] The visual attention mechanism can guide the human eye to focus on significant areas in massive data, and allocate resources to prioritize important areas, so that humans can quickly find areas of interest from complex scenes. Specifically, when the human eye receives a large amount of visual information, the human brain can filter out a small number of important information that humans are interested in, so as to process the information preferentially. At present, the visual attention mechanism in the field of computer vision technology mainly includes the selective attention mechanism and the salient target attention mechanism, but neither of these two attention mechanisms can completely simulate the visual attention mechanism of the human brain, which reduces t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/32G06N3/04G06N3/08
CPCG06N3/082G06N3/084G06V20/00G06V10/25G06V2201/07G06N3/045
Inventor 谭铁牛王亮黄永祯曹春水
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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