2009 Joint Urban Remote Sensing Event 2009
DOI: 10.1109/urs.2009.5137694
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Using of geospatial video surveillance networks for urban security and emergency applications

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Cited by 2 publications
(2 citation statements)
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“…[20] [21] [22] focus on investigating object tracking algorithms, propelling traditional methods like optical flow, background subtraction, frame differencing, and subspace methods. [23] [24] [25] [29] propose effective methods for object detection and tracking, particularly tailored for vehicles and ships, with the objective of acquiring object trajectories. [26] outlines case studies and the pragmatic significance of employing geospatial video for post-disaster recovery.…”
Section: Video Data Analysis and Managementmentioning
confidence: 99%
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“…[20] [21] [22] focus on investigating object tracking algorithms, propelling traditional methods like optical flow, background subtraction, frame differencing, and subspace methods. [23] [24] [25] [29] propose effective methods for object detection and tracking, particularly tailored for vehicles and ships, with the objective of acquiring object trajectories. [26] outlines case studies and the pragmatic significance of employing geospatial video for post-disaster recovery.…”
Section: Video Data Analysis and Managementmentioning
confidence: 99%
“…[27] [28] delineate how drone videos can flexibly and effectively aid disaster monitoring and swift responses. [29] summarizes the pivotal role of surveillance videos in augmenting urban safety. They can promptly discern flames and assist law enforcement agencies in recognizing public weaponry, identifying vehicles, conducting criminal facial recognition, and more.…”
Section: Video Data Analysis and Managementmentioning
confidence: 99%