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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
3175-3179

Sharing bicycle’s categories and parking violation detection based on object detection and semantic segmentation

Yan Guangyu
Liu Zhengxi
Xiong Yunyu
Li Zheng
Zhao Yiru
School of Computer, Sichuan University, Chengdu 610000, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0170

Abstract

At present, the detection of road violation event is based on the artificially selected area under the fixed camera for object detection. However, the artificially selection area has a heavy workload, and as the camera rotates, these area will be invalid. Aiming at this problem, this paper first proposed a method of violation detection combining object detection and semantic segmentation. Firstly, this paper used the transfer learning, multi-stage training schedule to train the Faster R-CNN model to extract the categories of the shared bicycles and the bounding boxes position information. Then this paper used group normalization to modify the semantic segmentation DeepLab v3+ network model, improved the model precision of training under small batch size, and obtained the semantic and regional information of the road scene. Finally combining two parts of the information to determine whether the sharing bicycle was illegally parked according to the proportion of different road areas in the bicycle detection bounding boxes. The experimental results show that the mAP of the sharing bicycle detection is 72.36%, and detection accuracy of the sharing bicycles illegal parking is 89.11%, which can be applied to the actual road monitoring environment.

Foundation Support

国家自然科学基金资助项目(61471250)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0170
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Technology of Graphic & Image
Pages: 3175-3179
Serial Number: 1001-3695(2020)10-060-3175-05

Publish History

[2020-10-05] Printed Article

Cite This Article

严广宇, 刘正熙, 熊运余, 等. 基于目标检测和语义分割共享单车类别与违停检测 [J]. 计算机应用研究, 2020, 37 (10): 3175-3179. (Yan Guangyu, Liu Zhengxi, Xiong Yunyu, et al. Sharing bicycle’s categories and parking violation detection based on object detection and semantic segmentation [J]. Application Research of Computers, 2020, 37 (10): 3175-3179. )

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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