Human face detection method based on context information enhancement

A technology of information enhancement and face detection, which is applied in the field of face detection, can solve problems such as not being able to integrate context information well, achieve the effects of improving detection performance, simple implementation, and ensuring detection efficiency

Pending Publication Date: 2019-04-19
TIANJIN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, it is currently aimed at the problem that context information cannot be well integrated in the single-stage detection model

Method used

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  • Human face detection method based on context information enhancement
  • Human face detection method based on context information enhancement
  • Human face detection method based on context information enhancement

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] figure 2 Described in is an example of the application of the traditional deep convolutional network object detection method in object detection. The structure of this method is relatively simple. It is only composed of multiple convolutional layers and pooling layers stacked in series. The convolution kernel size of these convolutional layers is fixed, and the relative receptive field of each layer is fixed. Characteristic information is limited. Its workflow is as follows: input the original image data into the pre-designed deep convolutional network, after feature extraction, directly classify and regress the candidate targets, and then obtain the category information and location information of the target of interest. The extracted features are relatively fixed, especially for objects with small size or occlusion problems, it is more difficult to extract ...

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Abstract

The invention relates to a face detection method based on context information enhancement, and the method comprises the steps: collecting image data comprising face targets in different scenes, and marking the face targets contained in each image; Dividing an image data set; Designing a context information enhancement-based deep convolutional network structure; Designing a context information enhanced sub-network; Designing a multi-path enhanced sub-network; DESIGNING DETECTION SUBNETWORKS.

Description

technical field [0001] The invention relates to a face detection method in computer vision-related fields such as face recognition, identity verification, security monitoring, access control and attendance attendance, and in particular to a small-scale target detection and a face detection method based on a deep convolutional neural network. Background technique [0002] Object detection is one of the important research fields in the field of computer vision. With the continuous improvement and development of deep learning technology, object detection technology based on deep learning has been widely used in many practical fields. As one of the important research directions, the face detection task has achieved considerable development. With the deepening of informatization, artificial intelligence technologies such as personal identity authentication, security monitoring, access control attendance, and passenger flow statistics based on face detection technology Gradually a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/168G06F18/253G06F18/214
Inventor 陈龙庞彦伟
Owner TIANJIN UNIV
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