THE EDEN PROJECT MULTI-SENSOR DATA SET
kindly provided by Bristol University and Waterfall Solutions Ltd
 (To download a full-size image click on the thumbnail image.)

General information:

The Eden Project Multi-Sensor Data Set is the result of a data gathering exercise carried out at the Eden Project in Cornwall, UK, in October 2005. A large number of different sensors (including infrared, 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. 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. A large part of the EDEN PROJECT MULTI-SENSOR DATA SET is available online on the EDEN PROJECT MULTI-SENSOR DATA SET web site hosted by Bristol University (coming soon..). There you can find both the videos and the metadata, stored in a searchable database. Detailed information about the data set could be found in the following technical report (8216KB). A list of the main scenes and some examples could be viewed here.

A few example images are shown here and below:



Tropical Forest sequence 1.2 (iii): UoB_HD (top); UoB_Viz (bottom left); UoB_IR (bottom middle); UoB_SD on FlyBot (bottom right).

Some photos of the team who made this happen could be found here and below:


The Bristol University team (from left to right) at the Eden Project (October 2005): John Lewis, Stavri Nikolov, Eduardo Fernandez-Canga, Alessandro Cardinali (or what is seen of him), Jian Li, Nedeljko Cvejic (behind Jian), and Artur Loza.

Acknowledgements:

The Eden Project Multi-Sensor Data Set may be used for research purposes only. Publications using the Eden Project Multi-Sensor Data Set should cite the following report:

  • J. J. Lewis, S. G. Nikolov, A. Loza, E. Fernandez Canga, N. Cvejic, J. Li, A. Cardinali, C. N. Canagarajah, D. R. Bull, T. Riley, D. Hickman, M. I. Smith, The Eden Project multi-sensor data set, Technical report TR-UoB-WS-Eden-Project-Data-Set, University of Bristol and Waterfall Solutions Ltd, UK, 6 April 2006
    (8216KB)
    • Much of this work has been funded by the UK MOD Data and Information Fusion Defence Technology Centre. The Authors would like to thank the Tropical Biome Team at the Eden Project, particularly Don Murray, for their invaluable help. We would also like to thank all those who worked in the trials with the planning, operating and provision of sensors and acting out scenes: Tim MacMillan of Time-Slice Films Ltd; Lindsay Hitchin of General Dynamics UK; and the Defence Science and Technology Laboratory (UK MOD) who also kindly supplied camouflage uniforms and dummy mines. Waterfall Solutions Ltd would also like to thank Octec for the loan of a number of cameras and recording equipment.