Paper
14 November 2023 Research on face recognition based on deep learning
Jingwen Kang
Author Affiliations +
Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 1293411 (2023) https://doi.org/10.1117/12.3008558
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China
Abstract
With the need of application upgrading in the field of computer vision and pattern recognition, dynamic face recognition technology has also been rapidly developed. At present, there are many face recognition processing methods in the field of video surveillance Only in the front end of the device to do simple recognition and tracking, a large number of complex operations, including face eigenvalue comparison and big data processing part are completed in the server side. For users of video surveillance, the method can not display the face recognition and comparison results in the monitoring terminal in real time. Aiming at this demand, this paper proposes a face recognition video transmission scheme based on edge computing to realize video transmission. The synchronization of face recognition effect between the acquisition and the player in the video. In this scheme, the video processing module of the terminal device simultaneously carries out video coding and face recognition to the video data, according to the terminal face. Database, extract and analyze the face recognition results and record the coordinate information in the video, and the synchronous packet mechanism is used to fuse the two, so as to obtain the video data package with both encoded data and face information. Through the verification system test, it is proved that the scheme can solve the synchronization problem of face frame display and tracking in live video, and has high accuracy and real-time performance.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jingwen Kang "Research on face recognition based on deep learning", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 1293411 (14 November 2023); https://doi.org/10.1117/12.3008558
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KEYWORDS
Facial recognition systems

Video

Video surveillance

Video coding

Video processing

Data transmission

Deep learning

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