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A 3-D detection method of moving traffic loads based on the stereo vision

A 3-D detection method of moving traffic loads based on the stereo vision
Auteur(s): , , , ORCID
Présenté pendant IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021, publié dans , pp. 467-474
DOI: 10.2749/ghent.2021.0467
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Vehicle tracking based on computer vision is an important part of traffic load monitoring. The stable and reliable vehicle detection is the primary task of vehicle tracking. The widely used 2-D det...
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Détails bibliographiques

Auteur(s): (Department of Bridge Engineering, Tongji University, Shanghai 200092, China)
(Department of Bridge Engineering, Tongji University, Shanghai 200092, China)
(Shanghai Tongji Testing Technology Co.,Ltd , Shanghai 200092, China)
ORCID (State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai, 200092, China)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021
Publié dans:
Page(s): 467-474 Nombre total de pages (du PDF): 8
Page(s): 467-474
Nombre total de pages (du PDF): 8
DOI: 10.2749/ghent.2021.0467
Abstrait:

Vehicle tracking based on computer vision is an important part of traffic load monitoring. The stable and reliable vehicle detection is the primary task of vehicle tracking. The widely used 2-D detection works accurately in simple situation but faces obstacles in dealing with multi-vehicle overlap. Therefore, this paper proposes a 3-D detection method of vehicles based on the stereo vision, which can position accurately the vehicles partly covered in the image to keep a continuous vehicle tracking. This method builds spatial relations between observed objects such as wheels and the feature points on the vehicle. With spatial relations determined, when the observed objects of the vehicle are partly covered by other objects, their positions can be inferred accurately from the visible feature points of the vehicle. Experiments were taken to verify the effectiveness of the proposed method.

Copyright: © 2021 International Association for Bridge and Structural Engineering (IABSE)
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