Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rob G. J. Wijnhoven"'
Publikováno v:
Neural Processing Letters.
Attention modules can be added to neural network architectures to improve performance. This work presents an extensive comparison between several efficient attention modules for image classification and object detection, in addition to proposing a no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1785df7779439a51b1c278addde9696f
https://doi.org/10.1007/s11063-023-11161-z
https://doi.org/10.1007/s11063-023-11161-z
Publikováno v:
Journal of Electronic Imaging, 27(5):051225. SPIE
We describe a system for vehicle make and model recognition (MMR) that automatically detects and classifies the make and model of a car from a live camera mounted above the highway. Vehicles are detected using a histogram of oriented gradient detecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce349598718be51df4ff8f45d1b1335e
https://doi.org/10.1117/1.jei.27.5.051225
https://doi.org/10.1117/1.jei.27.5.051225
Publikováno v:
2015 IEEE 18th International Conference on Intelligent Transportation Systems, 15-18 September 2015, Gran Canaria, Spain, 919-924
STARTPAGE=919;ENDPAGE=924;TITLE=2015 IEEE 18th International Conference on Intelligent Transportation Systems, 15-18 September 2015, Gran Canaria, Spain
ITSC
STARTPAGE=919;ENDPAGE=924;TITLE=2015 IEEE 18th International Conference on Intelligent Transportation Systems, 15-18 September 2015, Gran Canaria, Spain
ITSC
This paper focuses on tracking in typical traffic monitoring scenarios with emphasis on handling occlusions caused by trees, lampposts and cables. We extend the existing TRracking with Occlusion handling and Drift correction (TROD) algorithm with a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e72d4e57e5bc74733399d30d444c8c5e
https://research.tue.nl/en/publications/9c614984-671b-4d26-b250-35a4908bc380
https://research.tue.nl/en/publications/9c614984-671b-4d26-b250-35a4908bc380
Publikováno v:
ICIP
We present a tracking framework in which we learn a HOG-based object detector in the first video frame and use this detector to localize the object in subsequent frames. We contribute and improve the tracking on the three following points. First, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff25e66b4910abaf149212066ce9d2b3
https://doi.org/10.1109/icip.2013.6738503
https://doi.org/10.1109/icip.2013.6738503
Publikováno v:
Proceedings of the 2013 International Conference on Image Processing (ICIP 2013), 15-18 September 2013, Maelbourne, 4117-4121
STARTPAGE=4117;ENDPAGE=4121;TITLE=Proceedings of the 2013 International Conference on Image Processing (ICIP 2013), 15-18 September 2013, Maelbourne
ICIP
STARTPAGE=4117;ENDPAGE=4121;TITLE=Proceedings of the 2013 International Conference on Image Processing (ICIP 2013), 15-18 September 2013, Maelbourne
ICIP
Radar is commonly used to detect and track ships in maritime surveillance. Unfortunately the systems are costly and do not provide any visual information about the object's type. To complement the ship identity information given by a radar system, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::392d6a1d93c322392b9ee2b51e2c8e24
https://research.tue.nl/en/publications/fb2cf176-97d1-43b8-bd45-b0e3375613cd
https://research.tue.nl/en/publications/fb2cf176-97d1-43b8-bd45-b0e3375613cd
Publikováno v:
SPIE Proceedings.
Many proposed video content analysis algorithms for surveillance applications are very computationally intensive, which limits the integration in a total system, running on one processing unit (e.g. PC). To build flexible prototyping systems of low c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11ed0ce1be65b7bfd3011e5c45f4e33
https://doi.org/10.1117/12.649520
https://doi.org/10.1117/12.649520
Autor:
Rob G. J. Wijnhoven, Olivier Caignart, Maximilian Barais, Wouter Favoreel, Xavier Desurmont, Egbert G. T. Jaspers, Jean-Francois Delaigle
Partners of the CANDELA project are realizing a system for real-time image processing for traffic and video-surveillance applications. This system performs some segmentation, labels the extracted blobs and follows their track into the scene. We also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bbafb4463663d06408762b2564d2644
https://biblio.vub.ac.be/vubir/performance-evaluation-of-realtime-video-content-analysis-systems-in-the-candela-project(4135cded-03c1-4f13-9565-5a7bdd44821a).html
https://biblio.vub.ac.be/vubir/performance-evaluation-of-realtime-video-content-analysis-systems-in-the-candela-project(4135cded-03c1-4f13-9565-5a7bdd44821a).html