Deep Learning based Vehicle Detection in Aerial Imagery

This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed...

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Bibliografski detalji
Glavni autor: Wilko Sommer, Lars (auth)
Format: Elektronički Poglavlje knjige
Jezik:engleski
Izdano: Karlsruhe KIT Scientific Publishing 2022
Serija:Karlsruher Schriften zur Anthropomatik 52
Teme:
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Opis
Sažetak:This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.
Opis fizičkog objekta:1 electronic resource (276 p.)
ISBN:KSP/1000135415
9783731511137
Pristup:Open Access