Vehicle Detection in Aerial Imagery : A small target detection benchmark

Sébastien Razakarivony 1 Frédéric Jurie 2
2 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : This paper introduces VEDAI: Vehicle Detection in Aerial Imagery a new database of aerial images provided as a tool to benchmark automatic target recognition algorithms in unconstrained environments. The vehicles contained in the database, in addition of being small, exhibit different variabil-ities such as multiple orientations, lighting/shadowing changes, specularities or occlusions. Furthermore, each image is available in several spectral bands and resolutions. A precise experimental protocol is also given, ensuring that the experimental results obtained by different people can be properly reproduce and compared. Finally, the paper also gives the performance of baseline algorithms on this dataset, for different settings of these algorithms, to illustrate the difficulties of the task and provide baseline comparisons.
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Submitted on : Wednesday, December 16, 2015 - 8:56:04 AM
Last modification on : Friday, April 12, 2019 - 9:52:06 AM
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  • HAL Id : hal-01122605, version 2


Sébastien Razakarivony, Frédéric Jurie. Vehicle Detection in Aerial Imagery : A small target detection benchmark. Journal of Visual Communication and Image Representation, Elsevier, 2015. ⟨hal-01122605v2⟩



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