The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In low-brightness environment, DaCoLT detects knifes with an accuracy 87.74%.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [128]
In the citing paper
“This study proposed a new pre-processing technique called darkening and contrast at learning and test (DaCoLT) in 2019 that utilizes brightness guidance to overcome the negative effects of varying illumination.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [128]
In the citing paper
“After it applied DaCoLT, a CNN-based detection model was trained and evaluated on low-quality videos, and it demonstrated high potential as an automatic alarm system by its satisfactory results.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [128]
In the citing paper
“Additionally, the frame processing time of DaCoLT might experience delays due to sudden knife movements.”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [128]
Citations
Cites
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ImageNet Large Scale Visual Recognition Challenge
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Flagged first, then by citations
Research works printed but not linked: 1
- Huang, 2017, Tensorflow object detection api, CVPR
Cited by
Sorted by citations
Items 101–122 of 122
Deep Learning based Gender Responsive Smart Device to Combat Domestic Violence
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Advanced Processing and Classification of Plant Disease
Araujo, S. D. C. S., Malemath, V. S., & Sundaram, K. M. (2022) · Lecture notes in networks and systems · doi:10.1007/978-981-19-1607-6_11 · Cited by 1
Dangerous Items Detection in Surveillance Camera Images Using Faster R-CNNPreprint
Omiotek, Z., & Zhunissova, U. (2024) · Preprints.org · doi:10.20944/preprints202406.1090.v1 · Cited by 1
Unified Physical Threat Monitoring System Aided by Virtual Building Simulation
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Intelligence Surveillance System for Bank Security Against Robbery
Kamble, A., Deore, L., Bangar, N., Verma, U. P., & Sharma, L. D. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-1841-2_32
Handheld Knife Stick Detection Based on Dual-Path Multi-layer Residuals
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Advancing Small-Sized Handgun Detection : Challenges And Research Gaps
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CCTV armed robbery detection with YOLOv8
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Weapon Detection in Video Surveillance Systems
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Intelligent Sensors for the Detection of Outlawed Vehicles on Highways
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Comprehensive Evaluation of YOLOv8 to YOLOv26 for Real-Time Weapon Detection in CCTV SurveillancePreprint
Gençosman, B. Ç. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6362159
Real Time Suspicious Object Detection in Surveillance Footage Using AI
Srivastava, S., Pathak, D. K., Nagar, A., Pandey, A., Mishra, A., & Shukla, A. K. (2025) · International Conference on Data Science and Intelligent Network Computing (ICDSINC) · doi:10.1109/icdsinc66221.2025.11448233
Comprehensive Evaluation of YOLOv8 to YOLOv26 for Real-Time Weapon Detection in CCTV SurveillancePreprint
Gençosman, B. Ç. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6668910
Real-Time Weapon Detection Using Enhanced YOLO12 Models and a Custom Dataset
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Consensus-driven bounding box fusion for robust weapon detection in surveillance systems
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Metadata
- Authors
- Castillo, A., Tabik, S., Pérez, F., Olmos, R., & Herrera, F.
- Affiliations
- Universidad de Granada (ES)
- Corresponding author
- Castillo, Alberto
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 330
- Pages
- 151-161
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W2900484583
- Cited by
- 122
- References
- 31
- Citations by year
- 2026: 9 · 2025: 15 · 2024: 22 · 2023: 20 · 2022: 23 · 2021: 19 · 2020: 10 · 2019: 4
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurocomputing (publishedVersion)
- Funders
- Spanish Ministry of Science and Technology (TIN2017-89517-P)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Keywords
- video surveillance, metallic object detection, illumination robustness, surface reflectance, automated alert system, convolutional neural networks
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