Chris H. Bahnsen
Chris H. Bahnsen
Verified email at create.aau.dk - Homepage
Title
Cited by
Cited by
Year
Tri-modal person re-identification with rgb, depth and thermal features
A Mogelmose, C Bahnsen, T Moeslund, A Clapés, S Escalera
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
552013
Multi-modal rgb–depth–thermal human body segmentation
C Palmero, A Clapés, C Bahnsen, A Møgelmose, TB Moeslund, ...
International Journal of Computer Vision 118 (2), 217-239, 2016
372016
Spatiotemporal analysis of RGB-DT facial images for multimodal pain level recognition
R Irani, K Nasrollahi, MO Simon, CA Corneanu, S Escalera, C Bahnsen, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
192015
Traffic light detection at night: Comparison of a learning-based detector and three model-based detectors
MB Jensen, MP Philipsen, C Bahnsen, A Møgelmose, TB Moeslund, ...
International Symposium on Visual Computing, 774-783, 2015
132015
Rain removal in traffic surveillance: Does it matter?
CH Bahnsen, TB Moeslund
IEEE Transactions on Intelligent Transportation Systems 20 (8), 2802-2819, 2018
112018
Context-aware fusion of RGB and thermal imagery for traffic monitoring
T Alldieck, CH Bahnsen, TB Moeslund
Sensors 16 (11), 1947, 2016
102016
Identifying basketball plays from sensor data; towards a low-cost automatic extraction of advanced statistics
AA Sangüesa, TB Moeslund, CH Bahnsen, RB Iglesias
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 894-901, 2017
62017
Detecting road user actions in traffic intersections using RGB and thermal video
C Bahnsen, TB Moeslund
2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015
42015
Automatic detection of conflicts at signalized intersections
TKO Madsen, C Bahnsen, H Lahrmann, TB Moeslund
Transportation Research Board 93rd Annual Meeting, 2014
42014
Learning to Remove Rain in Traffic Surveillance by using Synthetic Data.
CH Bahnsen, D Vázquez, AM López, TB Moeslund
VISIGRAPP (4: VISAPP), 123-130, 2019
32019
The aau multimodal annotation toolboxes: Annotating objects in images and videos
CH Bahnsen, A Møgelmose, TB Moeslund
arXiv preprint arXiv:1809.03171, 2018
32018
RUBA-video analysis software for road user behaviour analysis
TKO Madsen, PM Christensen, CH Bahnsen, MB Jensen, TB Moeslund, ...
29th ICTCT workshop, 20-21, 2016
32016
Thermal-visible-depth image registration
C Bahnsen
Unpublished Master Thesis, Aalborg University, Aalborg, Denmark, 2013
32013
Watchdog System
TKO Madsen, CH Bahnsen, MB Jensen, HS Lahrmann, TB Moeslund
European Commission* Office for Official Publications of the European Union, 2016
22016
Road user behaviour analyses based on video detections: Status and best practice examples from the RUBA software
C Tønning, TKO Madsen, CH Bahnsen, TB Moeslund, N Agerholm, ...
24th ITS World Congress Montreal 2017, 1-10, 2017
12017
RUBA-Videoanalyseprogram til trafikanalyser
TKO Madsen, PM Christensen, C Bahnsen, MB Jensen, TB Moeslund, ...
Trafik and Veje, 14-17, 2016
12016
Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors.
A Møgelmose, C Bahnsen, TB Moeslund
VISAPP (2), 244-251, 2015
12015
Realtime global illumination using compressed pre-computed indirect illumination textures
C Madsen
WSCG'2012, 2012
12012
Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras.
JB Haurum, CH Bahnsen, TB Moeslund
CVPR Workshops, 55-64, 2019
2019
Robust and Multi-Modal Analysis of Traffic and People
CH Bahnsen
Aalborg Universitetsforlag, 2019
2019
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Articles 1–20