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A Fast Multi-Face Detection and Tracking Method Based on Embedded System

An embedded system and multi-face technology, which is applied in the field of rapid multi-face detection and tracking, can solve the problems of low accuracy of face recognition and large amount of recognition calculations, and achieve accurate face tracking, low power consumption, and The effect of reducing construction and operating costs

Active Publication Date: 2021-05-25
北京澎思科技有限公司
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of low face recognition accuracy and large amount of recognition calculation in the above-mentioned prior art, the present invention proposes a fast multi-face detection and tracking method based on an embedded system. The specific technical scheme of the method is as follows:

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  • A Fast Multi-Face Detection and Tracking Method Based on Embedded System

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Embodiment Construction

[0020] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0021] refer to figure 1 , in an embodiment of the present invention, a kind of fast multi-face detection and tracking method based on an embedded system is provided, and the embedded system includes a camera module for face detection and face tracking and a camera module for A dedicated coprocessor for face detection data processing and calculation, including steps:

[0022] S1. Initialize the embedded system, and initialize the global buffer queue for face data;

[0023] S2. And set a detection cycle of a preset duration, and use the camera module to collect face image data;

[0024] S3. After the preprocessing operation of the face image data, it is sent to a special cop...

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Abstract

The invention discloses a fast multi-face detection and tracking method based on an embedded system. A camera module and a special co-processor or VPU are embedded in the embedded system. First, the embedded system is initialized and configured, and initialized and obtained, including The global buffer queue of the corresponding position information of the face; the face image data is collected through the camera module, and the face image data is preprocessed and input into the special coprocessor or VPU, and the face image is obtained by the special coprocessor or VPU position information corresponding to the data, and compare the position information with the position information in the global buffer queue to determine whether there is matching position information in the global buffer queue; finally, the global buffer of all acquired face image data The face image data with the best quality is obtained by queue processing, and is output and stored; the present invention can effectively improve the processing efficiency of the face image data.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a fast multi-face detection and tracking method based on an embedded system. Background technique [0002] Based on cost and power consumption considerations, embedded devices, especially surveillance cameras, mostly use low-cost ARM processors as the core processing platform of the system. Compared with the x86 platform, the ARM processor uses the RISC instruction set, which has high execution efficiency and low power consumption. However, the main frequency of the ARM processor is low, the computing resources are limited, and the computing power is weak, so it is difficult to complete complex computing tasks. [0003] Traditional surveillance cameras mainly complete video codec, transmission and other software-level work. With the rapid development of artificial intelligence technology, more and more AI functions, such as face recognition technology, are i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06T1/20G06T7/20G06K9/03
Inventor 谢佩博
Owner 北京澎思科技有限公司