Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
2229-2234,2240

Anomaly detection fusing wavelet transform and encoder-decoder attention

Wang Ting1a
Xuan Shibin1b,2
Zhou Jianting1a
1. a. College of Electronic Information, b. College of Artificial Intelligence, Guangxi Minzu University, Nanning 530006, China
2. Guangxi Key Laboratory of Hybrid Computation & IC Design & Analysis, Nanning 530006, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0527

Abstract

Aiming at the problems of inaccurate prediction of normal video and poor ability of learning normal features in video anomaly detection, this paper proposed an anomaly detection model combining wavelet transform and encoder-decoder attention. The model introduced multi-level discrete wavelet transform, and designed a module of discrete wavelet transform fusion. The module concatenated the sub-bands obtained by decomposing video frames, and fed the result into depthwise separable convolution, and then fused with the encoder features to compensate for the high-frequency details lost in the down sampling process. The model also constructed encoder-decoder attention module. After performing difference of Gaussian operation on the encoder feature map, the attention weights were obtained along the horizontal and vertical directions respectively. And then the encoder features were aggregated according to the weights. Finally, the decoder features were associated to enhance the network's learning of normal events. Experiments on Ped1, Ped2 and Avenue datasets show that the AUC of the proposed model is increased by 3.2%, 3.1% and 2.0%. And the results indicate that the proposed model can effectively improve the abnormal detection ability.

Foundation Support

国家自然科学基金资助项目(61866003)
广西民族大学研究生教育创新计划项目(gxun-chxs2021063)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0527
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Technology of Graphic & Image
Pages: 2229-2234,2240
Serial Number: 1001-3695(2023)07-047-2229-06

Publish History

[2023-01-05] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

王婷, 宣士斌, 周建亭. 融合小波变换和编解码注意力的异常检测 [J]. 计算机应用研究, 2023, 40 (7): 2229-2234,2240. (Wang Ting, Xuan Shibin, Zhou Jianting. Anomaly detection fusing wavelet transform and encoder-decoder attention [J]. Application Research of Computers, 2023, 40 (7): 2229-2234,2240. )

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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