Title
The Eden Project multi-sensor data set
Abstract:
This paper details a data gathering exercise carried out at the Eden Project in Cornwall, UK. A large number of different sensors (including infra-red, standard and high definition, and lower quality visible sensors) were used to film simultaneously various scenes and scenarios. Ground truth data and meta-data were also recorded.
We believe we have gathered a rich and varied collection of multi-sensor image and video data that would be very useful to those who undertake research in image and video fusion, multi-source multi-target tracking, target identification, sensor management, etc.
The data primarily includes scenarios of short range surveillance type applications filmed under varying illumination conditions. Scenes include people (who are dressed in both civilian dress and camouflage, stationary, walking or running, or carrying various objects), vehicles, foliage and buildings/structures.
The majority of this data has been made publicly available and can either be accessed directly through, or requested via, the ImageFusion.org website.
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Authors:
J. J. Lewis, University of Bristol, UK;
S. G. Nikolov, University of Bristol, UK;
A. Loza, University of Bristol, UK;
E. Fernandez Canga, University of Bristol, UK;
N. Cvejic, University of Bristol, UK;
J. Li, University of Bristol, UK;
A. Cardinali, University of Bristol, UK;
C. N. Canagarajah, University of Bristol, UK;
D. R. Bull, University of Bristol, UK;
T. Riley, Waterfall Solutions, UK;
D. L. Hickman, Waterfall Solutions, UK;
M. I. Smith, Waterfall Solutions, UK;

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