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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2861-2865

Optical flow based stacked Unet background modeling network

Tao Ye
Ling Zhihao
Key Laboratory of Advanced Control & Optimization for Chemical Processes, East China University of Science & Technology, Ministry of Education, Shanghai 200237, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0167

Abstract

To tackle the cluttered foreground and the intermittent foreground motion challenges of background modeling algorithms, this paper proposed an unsupervised background modelling method(improved BM-Unet). The proposed method combined optical flow and Pearson correlation coefficient to extract the attention region in frames. In addition, the attention region contributed to modify the training set generation and loss function to improve the ability to adapt to the circumstance including the cluttered and the intermittent motion of foreground. In a further step, this paper proposed a stacked Unet architecture(BM-SUnet) to enhance the accuracy of background generation. Experiments on dataset SBMnet show that the algorithm is not only robust to the cluttered foreground and the intermittent motion challenge, but also outperforms the latest methods in terms of both qualitative and quantitative evaluation.

Foundation Support

中央高校基本科研业务费专项资金资助项目(222201917006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0167
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Technology of Graphic & Image
Pages: 2861-2865
Serial Number: 1001-3695(2020)09-062-2861-05

Publish History

[2020-09-05] Printed Article

Cite This Article

陶冶, 凌志浩. 基于光流优化的堆叠Unet背景建模神经网络 [J]. 计算机应用研究, 2020, 37 (9): 2861-2865. (Tao Ye, Ling Zhihao. Optical flow based stacked Unet background modeling network [J]. Application Research of Computers, 2020, 37 (9): 2861-2865. )

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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