Prevention and control tracking system based on 3D face recognition

Issue title: Managing Complex Computational Challenges

Guest editors: Pit Pichappan, Ezendu Ariwa and Fouzi Harrag

Article type: Research Article

Authors: Ma, Qingxiang

Affiliations: [a] School of Electronic and Information Engineering, Chongqing Open University, Chongqing, China | [b] Chongqing Technology and Business Institute, Chongqing, China | E-mail: nirvana@cqtbi.edu.cn

Correspondence: [*] Corresponding author: Chongqing Technology and Business Institute, Chongqing, China. E-mail: nirvana@cqtbi.edu.cn.

Abstract: A prevention and control tracking system based on three-dimensional (3D) face recognition was designed to improve the target tracking accuracy of the prevention and control tracking system. The ARM control chip of TMS320DM6446 was selected as the control chip of the ARM control module. The CMOS image acquisition sensor of the image acquisition module collected face images. The collected images were transmitted to the 3D face recognition module. The 3D face recognition module used the Gabor wavelet algorithm to extract the 3D face contour features of the face image. Moreover, the LDA algorithm was used to recognize faces based on 3D face contour features. The 3D face recognition results were compared with the faces in the face library to determine whether prevention and control tracking were necessary. When prevention and control tracking was needed, the GPS tracking and positioning module embedded in the mobile device terminal of the target object was started. The GPS tracking and positioning module was used to prevent and control the tracking of the target. The results of prevention and control tracking were displayed to the system users using a VGA display. The experimental results indicated that the designed system could accurately recognize faces and achieve prevention and control tracking of the target based on the face recognition results.

Keywords: 3D face recognition, prevention and control tracking system, control chip, Gabor wavelet, contour features, LDA algorithm

DOI: 10.3233/JCM-230005

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 3, pp. 1807-1823, 2024