prof. dr. ir. Peter Veelaert
- Work address
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Sint-Pietersnieuwstraat 41
9000 Gent - Peter.Veelaert@UGent.be
- ORCID iD
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0000-0003-4746-9087
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Automatic annotation of pedestrians in thermal images using background/foreground segmentation for training deep neural networks
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Depth map inpainting and super-resolution with arbitrary scale factors
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- Journal Article
- A1
- open access
Cooperative multi-sensor tracking of vulnerable road users in the presence of missing detections
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Detecting vehicles’ relative position on two-lane highways through a smartphone-based video overtaking aid application
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- Journal Article
- A1
- open access
Camera-based system for drafting detection while cycling
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- Conference Paper
- C1
- open access
Weakly supervised deep learning method for vulnerable road user detection in FMCW radar
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- Conference Paper
- C1
- open access
Multiview 3D markerless human pose estimation from OpenPose skeletons
(2020) Advanced concepts for intelligent vision systems - ACIVS 2020. In Lecture Notes in Computer Science 12002. p.166-178 -
- Conference Paper
- C1
- open access
Distributed multi-class road user tracking in multi-camera network for smart traffic applications
(2020) Advanced concepts for intelligent vision systems - ACIVS 2020. In Lecture Notes in Computer Science 12002. p.517-528 -
- Conference Paper
- C1
- open access
Clip-level feature aggregation : a key factor for video-based person re-identification
(2020) Advanced concepts for intelligent vision systems - ACIVS 2020. In Lecture Notes in Computer Science 12002. p.179-191 -
- Conference Paper
- C1
- open access
Deep learning fusion of RGB and depth images for pedestrian detection