Detection and Tracking of Targets in Forward-Looking InfraRed (FLIR) Imagery

Detection and tracking of targets in forward looking infrared (FLIR) imagery are challenging tasks. IR sensors often provide low signal-to-noise ratio and heavy background cluttering images. Non-stationary cameras can introduce further challenges, because detection and tracking might make it necessa...

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Hlavní autoři:	Andrea Sanna (Ed.), Fabrizio Lamberti (Ed.)
Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Témata:	template-matching algorithms applications and case studies autonomous vehicles environmental monitoring real-time target tracking in military scenarios tracking and detection of pedestrians ego-motion compensation and background removal techniques deformable part models automatic detection recognition and identification of targets video surveillance
On-line přístup:	17503
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