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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
3186-3190

Change detection method of street view image based on crowdsensing

Zhong Weizhaoa
Chen Huihuib
a. Dept. of Electromechanical Engineering & Automation, b. Dept. of Electronics & Information Engineering, Foshan University, Foshan Guangdong 528225, China
DOI: 10.19734/j.issn.1001-3695.2022.02.0082

Abstract

The images and spatiotemporal contextual information contained in mobile crowdsensing data can be used to detect changes in street view images, but crowdsensing data is usually low-quality and non-standard. In order to accurately detect the changes in the street view, this paper mainly solved the problem caused by low-quality datum which had been collected from different shooting perspectives. Firstly, for the problem of large parallax, it used the image registration method to initially align the images and extract the registration feature points. Then, it extracted the region of interest from the image based on the distribution of the registration feature points. Thirdly, aiming at the error detection content of the difference image, it proposed a screening method based on area and multi-feature points to remove the error detection region. Finally, it extracted the complete changing object by combining edge detection and superpixel segmentation algorithm. Compared with MDFNet method, when the image pairs change, the F1-measure value and error rate of this method are 55.8% and 10.8%, and they have increased by 6% and decreased by 24% respectively. When there are no changes, the error rate of this method is only 2.8% and it is reduced by about 28%.

Foundation Support

国家自然科学基金资助项目(61972092,61902068)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0082
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Technology of Graphic & Image
Pages: 3186-3190
Serial Number: 1001-3695(2022)10-049-3186-05

Publish History

[2022-04-29] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

钟委钊, 陈荟慧. 基于群智感知的街景变化检测方法 [J]. 计算机应用研究, 2022, 39 (10): 3186-3190. (Zhong Weizhao, Chen Huihui. Change detection method of street view image based on crowdsensing [J]. Application Research of Computers, 2022, 39 (10): 3186-3190. )

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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