Artificial intelligence based data processing algorithm for video surveillance to empower industry 3.5
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Specifying an ROI retains the quality of the most pertinent information in a transmission and reduces the amount of data transmitted, which increases the efficiency and bandwidth of a network utility.
“Specifying an ROI retains the quality of the most pertinent information in a transmission and reduces the amount of data transmitted, which increases the efficiency and bandwidth of a network utility [28][29][30][31][32].”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [30]
A CNN can find the location of a moving car in a traffic system, predict the car's forward path, and optimize crossroad throughput.
“For example, the CNN finds the location of a moving car in a traffic system, predicts the forward path of the car, and optimizes the crossroad throughput [28,30].”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [30]
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Self-citation
- Authors
- Nguyen, M. T., Truong, L. H., Tran, T. T., & Chien, C.-F.
- Affiliations
- National Tsing Hua University (TW)
- ORCID
- Chien, Chen-Fu
- Venue
- Computers & Industrial Engineering
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 148
- Pages
- 106671
- ISSN
- 0360-8352 (ISSN-L)
- OpenAlex
- W3046011476
- Cited by
- 59
- References
- 40
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 10 · 2023: 7 · 2022: 9 · 2021: 14 · 2020: 2
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Industrial Engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- video surveillance, video processing, moving object detection, background subtraction, video storage reduction, bandwidth reduction, edge computing, Industry 4.0, smart manufacturing, computer vision
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