Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)

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Correlation analysis of publication volume in abnormal behavior detection: A knowledge network perspective

Authors
Shilong Wang1, Jinghuan Zhu1, *, Li Chao1
1Guangxi Science & Technology Normal University, Laibin, Guangxi, 546199, China
*Corresponding author. Email: zhujinghuan2023@163.com
Corresponding Author
Jinghuan Zhu
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-419-8_12How to use a DOI?
Keywords
Deep learning; Abnormal behavior detection; Video surveillance; Artificial intelligence; CiteSpace
Abstract

His study employed CiteSpace software to analyze research outcomes related to abnormal behavior detection based on video surveillance. The primary focus was on the China National Knowledge Infrastructure (CNKI) and “Web of Science” (WoS) databases. The objective was to identify research trends and provide valuable references for advancing the exploration of this research direction. The following conclusions were drawn: (1) The published literature on abnormal behavior detection models and algorithms exhibits a consistent growth trend over time; (2) The results of authors, institutions, and countries (from the WoS and CNKI databases) that have conducted research in this field were statistically analyzed. (3) In the last two years, domestic journals key words focused on behavior recognition and classroom monitoring, while foreign journals prioritized feature extraction.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 May 2024
ISBN
10.2991/978-94-6463-419-8_12
ISSN
2589-4900
DOI
10.2991/978-94-6463-419-8_12How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shilong Wang
AU  - Jinghuan Zhu
AU  - Li Chao
PY  - 2024
DA  - 2024/05/07
TI  - Correlation analysis of publication volume in abnormal behavior detection: A knowledge network perspective
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 91
EP  - 98
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_12
DO  - 10.2991/978-94-6463-419-8_12
ID  - Wang2024
ER  -