Multiframe many-many point correspondence for vehicle tracking in high density wide area aerial videos

DOI10.1007/S11263-013-0624-1zbMath1286.68446OpenAlexW2046752030MaRDI QIDQ2450383

Mubarak Shah, Imran Saleemi

Publication date: 14 May 2014

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-013-0624-1

zbMATH Keywords

multiple hypothesisCLIF datasetmulti target trackingmultiframe data associationmultiple candidate trackingwide area aerial surveillance

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

Related Items (1)

Multi-vehicle tracking with microscopic traffic flow model-based particle filtering

Cites Work

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