Single person close-up real-time recognition and automatic screenshot method for large live scene

A scenario-based, single-person technology, applied in character and pattern recognition, image communication, instruments, etc., can solve the problems of large storage capacity, uneven quality, poor face recognition effect, etc., to reduce complexity and improve effect, effect of quality assurance

Active Publication Date: 2018-09-04
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

People must be detected if screenshots are needed. The key technology is face detection, and traditional face detection is usually detected in real time, so a large number of repeated different face snapshots of the same object will be generated during the detection process, and the quality In addition, if a...

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  • Single person close-up real-time recognition and automatic screenshot method for large live scene
  • Single person close-up real-time recognition and automatic screenshot method for large live scene
  • Single person close-up real-time recognition and automatic screenshot method for large live scene

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Embodiment Construction

[0050] Specific embodiments of the present invention are described in detail below, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0051] Unless expressly stated otherwise, throughout the specification and claims, the term "comprise" or variations thereof such as "includes" or "includes" and the like will be understood to include the stated elements or constituents, and not Other elements or other components are not excluded.

[0052] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0053] Obtain the current video frame image of the live video in real time, detect whether there is a human face in the video frame image; if there is a human face in the video frame image, then adopt the human face detection module to obtain the hu...

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Abstract

The invention discloses a single person close-up real-time recognition and automatic screenshot method for a large live scene. The method particularly comprises the following steps: a current video frame image in a live video is acquired in real time, and whether a face exists in the video frame image is detected; if a face exists in the video frame image, a face detection module is adopted to acquire a face area, comprehensive evaluation of a face size, definition, a location and an angle is carried out on the face area, an optimal face is further selected, and the current video frame image containing the optical face is subjected to screenshot saving; and finally, the optimal face image is fed to a face recognition model for recognition, and a recognition result is outputted. The methodcan be applied to a large live scene for recognition and screenshot on a single person close-up in the video, automatic screenshot saving is carried out when a screenshot index is met, a screenshot with a better quality can be obtained due to the screenshot index, and the problem of large calculation workload of a backend server brought by a large amount of repeated face snapshots generated in face recognition can be solved.

Description

Technical field: [0001] The invention relates to a single-person close-up real-time recognition and automatic screenshot method for large-scale live broadcast scenes, and belongs to the technical field of video image processing technology. Background technique: [0002] On various live broadcast platforms, such as regular conference live broadcasts, football live broadcasts, or large-scale party live broadcasts, it is necessary to take screenshots under certain circumstances and perform face recognition on the characters on the pictures, so as to facilitate graphic introduction. People must be detected if screenshots are needed. The key technology is face detection, and traditional face detection is usually detected in real time, so a large number of repeated different face snapshots of the same object will be generated during the detection process, and the quality In addition, if all snapshots are saved for face recognition, it will bring the disadvantages of large storage ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62H04N21/2187
CPCH04N21/2187G06V40/172G06V40/168G06V20/46G06V20/41G06F18/2148G06F18/24
Inventor 张晖杨纯
Owner NANJING UNIV OF POSTS & TELECOMM
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