Face detection method and device, computer device and computer readable storage medium

A face detection and detection frame technology, applied in the field of computer vision, can solve problems such as poor detection effect, complex application scenarios, and reduced face detection rate

Active Publication Date: 2019-06-21
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the actual application scenarios are more complex. Changes in face angles (head up, head down, side face), changes in illumination (backlight, shadows), occlusions (sunglasses, masks, hats), etc. will reduce the detection rate of faces.
Head-shoulder detection is to detect the head and shoulders as a whole. Because the head and shoulders are not as obvious and unique as the face features, the detection effect is slightly worse than that of the face.
In addition, head-shoulder detection generally uses edge features (HOG) or texture features (LBP), which are more complex and time-consuming to calculate.
Pedestrian detection generally requires the detection of the whole body. Pedestrians must all appear in the screen to be detected, which is often not met in actual scenes.

Method used

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  • Face detection method and device, computer device and computer readable storage medium
  • Face detection method and device, computer device and computer readable storage medium
  • Face detection method and device, computer device and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] figure 1 It is a flow chart of the face detection method provided by Embodiment 1 of the present invention. The face detection method is applied to a computer device. The face detection method can be applied to various video surveillance scenarios, such as intelligent transportation, access control systems, urban security and security, and the like. In intelligent transportation, the present invention can be used to detect faces of pedestrians or drivers.

[0052] The present invention detects the face area from the image to be detected, so as to perform processing based on the face, such as face recognition, expression analysis and the like. When the present invention is used for pedestrian detection, the surveillance image captured by the camera near the zebra crossing on the road is the image to be detected, and the present invention detects the human face area from the surveillance image for pedestrian recognition.

[0053] Such as figure 1 As shown, the face de...

Embodiment 2

[0112] image 3 It is a structural diagram of a face detection device provided by Embodiment 2 of the present invention. Such as image 3 As shown, the face detection device 10 may include: a construction unit 301, an extraction unit 302, a first detection unit 303, a first merging unit 304, a second detection unit 305, a second merging unit 306, a prediction unit 307, a first Three merging units 308 .

[0113] A construction unit 301, configured to construct an image pyramid for an image to be detected.

[0114] The image to be detected is an image containing a human face, usually a surveillance image. The image to be detected can contain one face or multiple faces.

[0115] The image to be detected can be a grayscale image or a color image, such as RGB image, LUV image or HSV image.

[0116] The color feature can be obtained directly from the image to be detected. For example, if the image to be detected is an RGB image, the RGB color feature can be directly obtained; ...

Embodiment 3

[0169] image 3 It is a schematic diagram of a computer device provided by Embodiment 3 of the present invention. The computer device 1 includes a memory 20 , a processor 30 and a computer program 40 stored in the memory 20 and executable on the processor 30 , such as a face detection program. When the processor 30 executes the computer program 40, the steps in the embodiment of the above-mentioned face detection method are realized, for example figure 1 Steps 101-108 are shown. Alternatively, when the processor 30 executes the computer program 40, it realizes the functions of the modules / units in the above device embodiments, for example image 3 Units 301-308 in.

[0170] Exemplarily, the computer program 40 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 20 and executed by the processor 30 to complete this invention. The one or more modules / units may be a series of computer program instruction segments capable o...

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PUM

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Abstract

The invention discloses a face detection method. The method comprises the following steps: constructing an image pyramid for an image to be detected; extracting aggregation channel characteristics ofeach layer of image of the image pyramid to obtain a characteristic pyramid of the to-be-detected image; obtaining a plurality of first detection frames of the to-be-detected image by using the firstsliding window, and classifying the first detection frames to obtain a plurality of candidate face frames; merging the candidate face frames; obtaining a plurality of second detection frames of the to-be-detected image by using a second sliding window, and classifying the second detection frames to obtain a plurality of candidate head-shoulder frames; combining the candidate header-shoulder framesand predicting a human face in the head-shoulder frames to obtain a predicted human face frame; and merging the merged candidate face frame and the predicted face frame to obtain a target face frame. The invention also provides a face detection device, a computer device and a readable storage medium. According to the invention, rapid high-detection-rate face detection can be realized.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a face detection method and device, a computer device and a computer-readable storage medium. Background technique [0002] The commonly used methods for pedestrian capture are face detection, head-shoulder detection, and pedestrian detection. Due to the obvious and stable facial features, face detection has the highest detection rate and the lowest false detection rate among the three detection methods. However, the actual application scenario is more complex. Changes in face angle (head up, head down, side face), illumination changes (backlight, shadow), occlusion (sunglasses, masks, hats), etc. will reduce the detection rate of faces. Head-shoulder detection is to detect the head and shoulders as a whole. Because the head and shoulders are not as obvious and unique as the facial features, the detection effect is slightly worse than that of the human face. In ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F18/00
Inventor 张兆丰牟永强
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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