Towards machine vision-based video analysis in smart cities: a survey, framework, applications and open issues-Reference-Cited by-同舟云学术

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Towards machine vision-based video analysis in smart cities: a survey, framework, applications and open issues

Published:2023-08-09 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sabha Ambreen^ORCID,Selwal Arvind

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16434-2.pdf

Reference107 articles.

1. Aggarwal JK, Ryoo MS (2011) Human activity analysis: A review. ACM Comput Surv 43(3). https://doi.org/10.1145/1922649.1922653

2. Agyeman R, Muhammad R, Choi GS (2019) Soccer Video Summarization Using Deep Learning. Proceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019, pp. 270–273. https://doi.org/10.1109/MIPR.2019.00055

3. Ahmed SA, Dogra DP, Kar S, Roy PP (2019) Trajectory-Based Surveillance Analysis: A Survey. IEEE Trans Circuits Syst Video Technol 29(7):1985–1997. https://doi.org/10.1109/TCSVT.2018.2857489

4. Ali H, Sharif M, Yasmin M, Rehmani MH, Riaz F (2020) A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract. Artif Intell Rev 53(4):2635–2707. https://doi.org/10.1007/s10462-019-09743-2

5. Ali JJ, Shati NM, Gaata MT (2020) Abnormal activity detection in surveillance video scenes. Telkomnika (Telecommun Comput Electron Control) 18(5):2447–2453. https://doi.org/10.12928/TELKOMNIKA.V18I5.16634

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