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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| Format: | Elektronisch Buchkapitel |
| Sprache: | Englisch |
| Veröffentlicht: |
Karlsruhe
KIT Scientific Publishing
2022
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| Schriftenreihe: | Karlsruher Schriften zur Anthropomatik
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| Schlagworte: | |
| Online-Zugang: | DOAB: download the publication DOAB: description of the publication |
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| Zusammenfassung: | 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. |
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| Beschreibung: | 1 electronic resource (276 p.) |
| ISBN: | KSP/1000135415 9783731511137 |
| Zugangseinschränkungen: | Open Access |