Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rob G.J. Wijnhoven"'
Publikováno v:
Electronic Imaging 2020
Overweight vehicles are a common source of pavement and bridge damage. Especially mobile crane vehicles are often beyond legal per-axle weight limits, carrying their lifting blocks and ballast on the vehicle instead of on a separate trailer. To preve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5ef69cf09db837e49e195fb69254bf5
https://research.tue.nl/nl/publications/2a9154e8-ac43-4525-8a92-7b897e61ff23
https://research.tue.nl/nl/publications/2a9154e8-ac43-4525-8a92-7b897e61ff23
Autor:
Rob G.J. Wijnhoven, Peter H.N. de With
Publikováno v:
IEEE Transactions on Consumer Electronics, 57(2), 906-914. Institute of Electrical and Electronics Engineers
We present a novel system for automatic identification of vehicles as part of an intelligent access control system for a garage entrance. Using a camera in the door, cars are detected and matched to the database of authenticated cars. Once a car is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ae019b7943a81c4b90e7ba17f73421a
https://research.tue.nl/nl/publications/d1276828-cacd-488c-945f-4eacc22fc4fa
https://research.tue.nl/nl/publications/d1276828-cacd-488c-945f-4eacc22fc4fa
Autor:
Rob G.J. Wijnhoven, Peter H.N. de With
Publikováno v:
ICCV Workshops
Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCV), 6-13 November 2011, Barcelona, Spain, 2077-2083
STARTPAGE=2077;ENDPAGE=2083;TITLE=Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCV), 6-13 November 2011, Barcelona, Spain
Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCV), 6-13 November 2011, Barcelona, Spain, 2077-2083
STARTPAGE=2077;ENDPAGE=2083;TITLE=Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCV), 6-13 November 2011, Barcelona, Spain
We present a novel algorithm for unsupervised subcategorization of an object class, in the context of object detection. Dividing the detection problem into smaller subproblems simplifies the object vs. background classification. The algorithm uses an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dd3854cdd945694ded0665cfd58d56c
https://doi.org/10.1109/iccvw.2011.6130504
https://doi.org/10.1109/iccvw.2011.6130504