RETRACTED ARTICLE: Real time object detection and trackingsystem for video surveillance system
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In [98], N-YOLO with a correlation-based tracker achieved a 7% accuracy enhancement over YOLOv3 according to the balanced accuracy metric on a road traffic dataset.
“In the evaluation of YOLOv3 and N-YOLO using a road traffic dataset, the results revealed that N-YOLO achieved a 7% accuracy enhancement according to the balanced accuracy metric.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [98]
Cites
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A Survey of Video Surveillance Systems in Smart City
Myagmar-Ochir, Y., & Kim, W. (2023) · Electronics · doi:10.3390/electronics12173567 · Cited by 134 · see citing works
“Jha et al. [98] proposed an N-YOLO approach with a correlation-based tracker to produce efficient bounding boxes that predict the movement of the object in 2021.”
Method
- Authors
- Jha, S., Seo, C., Yang, E., & Joshi, G. P.
- Affiliations
- Lovely Professional University (IN)
- Kongju National University (KR)
- Kookmin University (KR)
- Sejong University (KR)
- Corresponding author
- Joshi, Gyanendra Prasad
- Venue
- Multimedia Tools and Applications
- Published
- 2020-09-25
- Volume
- 80
- Issue
- 3
- Pages
- 3981-3996
- ISSN
- 1380-7501 (ISSN-L)
- 1573-7721
- OpenAlex
- W3089134182
- Cited by
- 165
- References
- 25
- Citations by year
- 2026: 17 · 2025: 37 · 2024: 43 · 2023: 38 · 2022: 17 · 2021: 12 · 2016: 1
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Status
- Retracted
- Update notices
- retraction (2026-04-15)
- Open access
- closed
- Licence
- Locations
- Multimedia Tools and Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Keywords
- real-time object detection, object tracking, video surveillance, edge computing, YOLO, correlation-based tracking, low-cost hardware
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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