J. M. Travere, Image Analysis of Infrared Quantitative Data Applied to Tokamak Survey and Safety: present and future, 2007 IEEE International Symposium on Intelligent Signal Processing, pp.1-5, 2007.
DOI : 10.1109/WISP.2007.4447641

F. Brémond, M. Thonnat, and M. Zuniga, Video-understanding framework for automatic behavior recognition, Behavior Research Methods, vol.22, issue.3, pp.416-426, 2006.
DOI : 10.3758/BF03192795

N. Maillot and M. Thonnat, Ontology based complex object recognition, Image and Vision Computing, vol.26, issue.1, pp.102-113, 2008.
DOI : 10.1016/j.imavis.2005.07.027

URL : https://hal.archives-ouvertes.fr/inria-00502361

R. Radke, S. Andra, O. Kofahi, and B. Roysam, Image change detection algorithms: a systematic survey, IEEE Transactions on Image Processing, vol.14, issue.3, pp.294-307, 2005.
DOI : 10.1109/TIP.2004.838698

D. E. Butler, J. V. Michael-bove, and S. Sridharan, Real-Time Adaptive Foreground/Background Segmentation, EURASIP Journal on Advances in Signal Processing, vol.2005, issue.14, pp.2292-2304, 2005.
DOI : 10.1155/ASP.2005.2292

J. Vega, Recent results on structural pattern recognition for Fusion massive databases, 2007 IEEE International Symposium on Intelligent Signal Processing, pp.1-6, 2007.
DOI : 10.1109/WISP.2007.4447569

. Fig, Ground truth with corresponding bounding box superimposed on original images (row 1), system outputs after motion detection, foreground pixels are in black (row 2), median filtering and blob extraction (row 3), blob merging (row 4), and arcing event recognition with corresponding bounding box superimposed on original images