• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Fast detection of target face based on the improved MTCNN network

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  • (College of Electronic Engineering,Guangxi Normal University,Guilin 541004,China)

Received date: 2019-04-22

  Revised date: 2019-12-20

  Online published: 2020-07-25

Abstract

Traditional detection networks have always had problems of low detection efficiency and low accuracy in complex backgrounds. Aiming at the above problems, this paper further designs the MT-Siam network based on the MTCNN algorithm, which mainly provides accurate position positioning for the independent segmentation of single target, image processing of single target and other operations in the future, so as to quickly obtain the target position and achieve the purpose of improving the detection efficiency. In the experiments, a comprehensive comparison is made on the basic model of YOLOv3, SSD300 and MTCNN to verify the superiority of MTCNN network. The comparative experiments show that, compared with MTCNN, the proposed MT-Siam algorithm can improve the detection speed by 70% to 85% while maintaining high precision.

Cite this article

JIA Xiao-shuo, ZENG Shang-you, PAN Bing, ZHOU Yue . Fast detection of target face based on the improved MTCNN network[J]. Computer Engineering & Science, 2020 , 42(07) : 1262 -1266 . DOI: 10.3969/j.issn.1007-130X.2020.07.015

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