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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
296-300

Design and optimization of hand lightweight detection algorithm based on ToF infrared images

Ge Chenyanga,b
Ma Wenbiaoc
Qu Yulic
a. College of Artificial Intelligence, b. National Key Laboratory of Human Machine Hybrid Augmented Intelligence, c. Faculty of Electronic & Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0278

Abstract

Implementing fast and accurate hand detection on embedded devices mainly face two challenges. Firstly, it is difficult for complex deep learning networks to achieve real-time hand detection. Secondly, the complexity of the scene leads to a decrease in the accuracy of hand detection algorithms based on RGB color images. Unlike mainstream RGB image based detection technologies, this paper adopted a lightweight hand detection algorithm based on ToF infrared images to attain precise and swift hand detection within the infrared images. Firstly, this paper gathered 22 419 static infrared images using this selfengineered equipment, thereby establishing an infrared dataset tailored for hand detection. Subsequently, it enhanced a gene-ral object detection algorithm to create a lightweight hand detection network known as RetinaHand, using two different lightweight networks, MobileNetV1 and ShuffleNetV2, as the backbone network of the model. Furthermore, this paper proposed an attention-enhanced feature pyramid structure called Attention-FPN. This structure integrated attention mechanisms to enhance the detection process. Ultimately, this paper conducted comparative experiments on the infrared dataset against conventional methods to validate the effectiveness of the method.

Foundation Support

国家自然科学基金仪器课题(61627811)
陕西省自然科学基金课题(2021JZ-04)
陕西省重点研发高校联合项目(2021GXLH-Z-093)
陕西省技术创新引导专项资助项目(2021QFY01-03)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0278
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Technology of Graphic & Image
Pages: 296-300
Serial Number: 1001-3695(2024)01-047-0296-05

Publish History

[2023-08-31] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

葛晨阳, 马文彪, 屈渝立. 基于ToF红外图像的手部轻量化检测算法设计与优化 [J]. 计算机应用研究, 2024, 41 (1): 296-300. (Ge Chenyang, Ma Wenbiao, Qu Yuli. Design and optimization of hand lightweight detection algorithm based on ToF infrared images [J]. Application Research of Computers, 2024, 41 (1): 296-300. )

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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