Morten Bornø Jensen
Title
Cited by
Cited by
Year
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives
MB Jensen, MP Philipsen, A Møgelmose, TB Moeslund, MM Trivedi
IEEE Transactions on Intelligent Transportation Systems, 2016
1172016
Traffic light detection: A learning algorithm and evaluations on challenging dataset
MP Philipsen, MB Jensen, A Møgelmose, TB Moeslund, MM Trivedi
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
60*2015
Evaluating state-of-the-art object detector on challenging traffic light data
MB Jensen, K Nasrollahi, TB Moeslund
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
402017
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
142015
Ongoing work on traffic lights: Detection and evaluation
MP Philipsen, MB Jensen, MM Trivedi, A Møgelmose, TB Moeslund
2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015
112015
Day and night-time drive analysis using stereo vision for naturalistic driving studies
MP Philipsen, MB Jensen, RK Satzoda, MM Trivedi, A Møgelmose, ...
2015 IEEE Intelligent Vehicles Symposium (IV), 1226-1231, 2015
102015
Counting the Crowd at a Carnival
JB Pedersen, JB Markussen, MP Philipsen, MB Jensen, TB Moeslund
Advances in Visual Computing, 706-715, 2014
52014
Swimming Pool Occupancy Analysis using Deep Learning on Low Quality Video
MB Jensen, R Gade, TB Moeslund
Proceedings of the 1st International Workshop on Multimedia Content Analysis …, 2018
32018
Improving a real-time object detector with compact temporal information
M Ahrnbom, M Borno Jensen, K Astrom, M Nilsson, H Ardo, T Moeslund
Proceedings of the IEEE International Conference on Computer Vision …, 2017
32017
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
An in-depth study of sparse codes on abnormality detection
H Ren, H Pan, SI Olsen, MB Jensen, TB Moeslund
2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016
32016
Watchdog System
TKO Madsen, CH Bahnsen, MB Jensen, HS Lahrmann, TB Moeslund
European Commission* Office for Official Publications of the European Union, 2016
32016
A Framework For Automated Analysis of Surrogate Measures of Safety from Video using Deep Learning Techniques
MB Jensen, M Ahrnbom, M Kruithof, K Åström, M Nilsson, H Ardö, ...
Transportation Research Board (TRB) 98th Annual Meeting, 281-306, 2019
22019
Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights
MB Jensen, MP Philipsen, TB Moeslund, M Trivedi
International Symposium on Visual Computing, 92-100, 2016
12016
RUBA-Videoanalyseprogram til trafikanalyser
TKO Madsen, PM Christensen, C Bahnsen, MB Jensen, TB Moeslund, ...
Trafik and Veje, 14-17, 2016
12016
Building Brains for Visual Traffic Analysis
MB Jensen
Aalborg Universitetsforlag, 2019
2019
Collecting Traffic Video Data Using Portable Poles: Survey, Proposal, and Analysis
MB Jensen, CH Bahnsen, HS Lahrmann, TKO Madsen, TB Moeslund
Journal of Transportation Technologies 8 (4), 376-400, 2018
2018
The RUBA Watchdog Video Analysis Tool
CH Bahnsen, TKO Madsen, MB Jensen, HS Lahrmann, TB Moeslund
European Commission* Office for Official Publications of the European Union, 2018
2018
Deep Learning: Et gennembrud inden for kunstig intelligens
MB Jensen, CH Bahnsen, K Nasrollahi, TB Moeslund
Aktuel Naturvidenskab, 8-13, 2018
2018
Tools for Naturalistic VRU Study-Hands-on Manual
TKO Madsen, N Agerholm, A Várhelyi, CH Bahnsen, MB Jensen, ...
European Commission* Office for Official Publications of the European Union, 2018
2018
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Articles 1–20