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This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Sekmen, A. and Aldroubi, A. 2013. Subspace and motion segmentation via local subspace estimation. p. 27.
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Ivanov, O. N. 2014. Adaptation of known background subtraction methods in the case of a moving PTZ camera mounted on a mobile platform. Pattern Recognition and Image Analysis, Vol. 24, Issue. 2, p. 318.
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Khan, Muhammad Arsalan Ectors, Wim Bellemans, Tom Janssens, Davy and Wets, Geert 2017. Unmanned Aerial Vehicle–Based Traffic Analysis: Methodological Framework for Automated Multivehicle Trajectory Extraction. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2626, Issue. 1, p. 25.
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De Oliveira, Diulhio Candido and Wehrmeister, Marco Aurelio 2018. Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV. Sensors, Vol. 18, Issue. 7, p. 2244.
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Shirazi, Mohammad Shokrolah Patooghy, Ahmad Shisheie, Reza and Haque, Md Munirul 2020. Application of Unmanned Aerial Vehicles in Smart Cities using Computer Vision Techniques. p. 1.
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Smart video surveillance for airborne platforms
  • Volume 27, Issue 5
  • Ali Sekmen (a1), Fenghui Yao (a1) and Mohan Malkani (a2)
  • DOI: https://doi.org/10.1017/S0263574708005122
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Smart video surveillance for airborne platforms
  • Volume 27, Issue 5
  • Ali Sekmen (a1), Fenghui Yao (a1) and Mohan Malkani (a2)
  • DOI: https://doi.org/10.1017/S0263574708005122
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Smart video surveillance for airborne platforms
  • Volume 27, Issue 5
  • Ali Sekmen (a1), Fenghui Yao (a1) and Mohan Malkani (a2)
  • DOI: https://doi.org/10.1017/S0263574708005122
Available formats Please select a format to save.
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