TY  - JOUR
PY  - 2016//
TI  - Context-aware fusion of RGB and thermal imagery for traffic monitoring
JO  - Sensors (Basel)
A1  - Alldieck, Thiemo
A1  - Bahnsen, Chris H.
A1  - Moeslund, Thomas B.
SP  - s16111947
EP  - s16111947
VL  - 16
IS  - 11
N2  - In order to enable a robust 24-h monitoring of traffic under changing environmental conditions, it is beneficial to observe the traffic scene using several sensors, preferably from different modalities. To fully benefit from multi-modal sensor output, however, one must fuse the data. This paper introduces a new approach for fusing color RGB and thermal video streams by using not only the information from the videos themselves, but also the available contextual information of a scene. The contextual information is used to judge the quality of a particular modality and guides the fusion of two parallel segmentation pipelines of the RGB and thermal video streams. The potential of the proposed context-aware fusion is demonstrated by extensive tests of quantitative and qualitative characteristics on existing and novel video datasets and benchmarked against competing approaches to multi-modal fusion.<p />  <p>Language: en</p>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s16111947
ID  - ref1
ER  -