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  • 标题:Thermal Feature Detection of Vehicle Categories in the Urban Area
  • 本地全文:下载
  • 作者:Tomáš Tichý ; David Švorc ; Miroslav Růžička
  • 期刊名称:Sustainability
  • 印刷版ISSN:2071-1050
  • 出版年度:2021
  • 卷号:13
  • 期号:12
  • 页码:6873
  • DOI:10.3390/su13126873
  • 语种:English
  • 出版社:MDPI, Open Access Journal
  • 摘要:The main goal of this paper is to present new possibilities for the detection and recognition of different categories of electric and conventional (equipped with combustion engines) vehicles using a thermal video camera. The paper presents a draft of a possible detection and classification system of vehicle propulsion systems working with thermal analyses. The differences in thermal features of different vehicle categories were found out and statistically proved. The thermal images were obtained using an infrared thermography camera. They were utilized to design a database of vehicle class images of passenger vehicles (PVs), vans, and buses. The results confirmed the hypothesis that infrared thermography might be used for categorizing the vehicle type according to the thermal features of vehicle exteriors and machine learning methods for vehicle type recognition.
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