Study of stability and object tracking of traffic video image for smart cities-Reference-Cited by-同舟云学术

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Study of stability and object tracking of traffic video image for smart cities

Published:2024-01-12 Issue:2 Volume:28 Page:431-442
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Yongfeng Xing,Luo Zhong,Xian Zhong

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Creative Research Group of Hubei Provincial Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00779-024-01786-9.pdf

Reference17 articles.

1. Rowghanian V, Ansari-Asl K (2015) Object tracking by mean shift and radial basis function neural networks. J Real-Time Image Proc 15(4):799–816

2. Mondal A, Ghosh A, Ghosh S (2018) Scaled and oriented object tracking using ensemble of multilayer perceptrons. Appl Soft Comput 73(12):1081–1094

3. Gehly S, Jones BA, Axelrad P (2018) Search-detect-track sensor allocation for geosynchronous space objects. IEEE Trans Aerosp Electron Syst 54(6):2788–2808

4. Inoue Y, Ono T, Inoue K (2018) Real-time frame-rate control for energy-efficient on-line object tracking. IEICE Trans Fundam Electron Commun Comput Sci E101A(12):2297–2307

5. Gambi JM, Garcia del Pino ML, Gschwindl J et al (2017) Post-Newtonian equations of motion for LEO debris objects and space-based acquisition, pointing and tracking laser systems. Acta Astronaut 141:132–142

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