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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
633-636

Occluded object recognition algorithm based on contour segmented feature description

Zhao Yawei
Zheng Wei
Yu Yang
Song Jianhui
School of Automation & Electrical Engineering, Shenyang University of Science & Technology, Shenyang 110159, China
DOI: 10.19734/j.issn.1001-3695.2021.06.0237

Abstract

Aiming at the problem of low recognition accuracy of traditional target recognition algorithms for occluded targets, this paper proposed an occluded target recognition algorithm based on contour segmented feature description. The algorithm firstly used the discrete curve evolution algorithm to preliminarily divide the target contour, and optimized the segment according to the undulation degree of the segment, and obtained effective segments that completely described the characteristics of the target contour. Then, the algorithm analyzed the similarity of the height function features between the contour segments through the dynamic programming algorithm, and used feature saliency to evaluate the importance of segment features relative to the overall feature of the target. Further, the algorithm combined the similarity between the segments with their feature saliency to obtain the joint similarity that measured the recognition accuracy. Experiments on the MPEG-7 test set prove that the algorithm can effectively match and recognize occluded targets, and the recognition rate is better than common occluded target recognition algorithms.

Foundation Support

国家重点研发计划资助项目(2017YFC0821001)
辽宁省教育厅科学研究项目(LG202009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0237
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Technology of Graphic & Image
Pages: 633-636
Serial Number: 1001-3695(2022)02-055-0633-04

Publish History

[2021-08-31] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

赵亚威, 郑伟, 于洋, 等. 基于轮廓分段特征描述的遮挡目标识别算法 [J]. 计算机应用研究, 2022, 39 (2): 633-636. (Zhao Yawei, Zheng Wei, Yu Yang, et al. Occluded object recognition algorithm based on contour segmented feature description [J]. Application Research of Computers, 2022, 39 (2): 633-636. )

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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