Technology of Graphic & Image
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937-940,945

Research on detection method of helmet wearing based on attitude estimation

Wang Yusheng
Gu Yuwan
Feng Xiaochen
Fu Xinyu
Zhuang Lihua
Xu Shoukun
School of Information Science & Engineering, School of Mathematics & Physics, Changzhou University, Changzhou Jiangsu 213164, China

Abstract

The existing detection method of wearing safety helmet is difficult to detect in the complex posture of construction personnel, and its accuracy is not high. This paper proposed a detection method of wearing safety helmet based on posture estimation. This method used the residual network in the OpenPose pose estimation model to optimize feature extraction and obtained the skeleton point information of the constructor. This paper proposed a three-point positioning method to determine the head area through the position information of bone points to reduce the detection range. This method used RetinaNet to detect the wearing of the helmet in the head area to solve the problem of extreme imbalance between the helmet and the construction background. The experimental results show that this method has significantly improved detection accuracy than other methods, and is more adaptable to the environment.

Foundation Support

国家自然科学基金资助项目(61906021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.11.0693
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Technology of Graphic & Image
Pages: 937-940,945
Serial Number: 1001-3695(2021)03-058-0937-04

Publish History

[2021-03-05] Printed Article

Cite This Article

王雨生, 顾玉宛, 封晓晨, 等. 基于姿态估计的安全帽佩戴检测方法研究 [J]. 计算机应用研究, 2021, 38 (3): 937-940,945. (Wang Yusheng, Gu Yuwan, Feng Xiaochen, et al. Research on detection method of helmet wearing based on attitude estimation [J]. Application Research of Computers, 2021, 38 (3): 937-940,945. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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