A Three-Stage Anomaly Detection Framework for Traffic Videos Article Swipe
Junzhou Chen
,
Jiancheng Wang
,
Jiajun Pu
,
Ronghui Zhang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/9463559
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1155/2022/9463559
As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to reduce casualties, economic losses, and traffic congestion. This paper proposed a three-stage method for video-based traffic anomaly detection. In the first stage, the ViVit network is employed as a feature extractor to capture the spatiotemporal features from the input video. In the second stage, the class and patch tokens are fed separately to the segment-level and video-level traffic anomaly detectors. In the third stage, we finished the construction of the entire composite traffic anomaly detection framework by fusing outputs of two traffic anomaly detectors above with different granularity. Experimental evaluation demonstrates that the proposed method outperforms the SOTA method with 2.07% AUC on the TAD testing overall set and 1.43% AUC on the TAD testing anomaly subset. This work provides a new reference for traffic anomaly detection research.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2022/9463559
- https://downloads.hindawi.com/journals/jat/2022/9463559.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 71
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4284664380
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4284664380Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1155/2022/9463559Digital Object Identifier
- Title
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A Three-Stage Anomaly Detection Framework for Traffic VideosWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-05Full publication date if available
- Authors
-
Junzhou Chen, Jiancheng Wang, Jiajun Pu, Ronghui ZhangList of authors in order
- Landing page
-
https://doi.org/10.1155/2022/9463559Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/jat/2022/9463559.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://downloads.hindawi.com/journals/jat/2022/9463559.pdfDirect OA link when available
- Concepts
-
Anomaly detection, Anomaly (physics), Computer science, Stage (stratigraphy), Real-time computing, Data mining, Geology, Paleontology, Physics, Condensed matter physicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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71Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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