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Real-time segmentation of moving objects in a video sequence by a contrario detection

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2005-15.pdf (1.018Mb)
Date
2005
Dewey
Modèles mathématiques. Algorithmes
Sujet
moving objects; video sequence; algorithms
DOI
http://dx.doi.org/10.1109/ICIP.2005.1529938
Conference name
International Conference on Image Processing (ICIP 2005)
Conference date
09-2005
Conference city
Gênes
Conference country
Italie
Book title
Proceedings of the 2005 International Conference on Image Processing (ICIP 2005), Genoa, Italy, September 11-14, 2005
Publisher
IEEE
Year
2005
ISBN
0-7803-9134-9
URI
https://basepub.dauphine.fr/handle/123456789/6039
Collections
  • CEREMADE : Publications
Metadata
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Author
Dibos, Françoise
Pelletier, Sylvain
Koepfler, Georges
Type
Communication / Conférence
Item number of pages
1065-1068
Abstract (EN)
In this article we present a real time algorithm for detecting moving objects in a video sequence taken with a fixed camera. When a background estimation is known, the algorithm is able to detect moving objects and locates them approximately. The method is based on a comparison between each single image of the sequence and the background, this gives us a fast algorithm which can be applied on a video sequence with a rather high frame rate, but on the other hand, we are also able to work with sequences having a very low frame rate. We use an a contrario model, assuming that moving objects yield locally major changes in the topographic map. Experimental results show that the algorithm is very robust to noise and to the background estimation. Moreover, the algorithm needs few parameters, which are easy to estimate.

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