DocumentCode :
2926351
Title :
Objects detection by expectation-maximisation algorithm application to football images
Author :
Jlassi, Mourad Moussa ; Douik, Ali ; Messaoud, Hassani
Author_Institution :
Ecole Nat. d´´Ing. de Monastir, Monastir, Tunisia
fYear :
2009
fDate :
5-8 July 2009
Firstpage :
317
Lastpage :
320
Abstract :
In this paper we present a supervised method of image segmentation based on the statistic approach expressed in an hybrid space constituted by the three relevant chromatic level deduced by histogram analysis approach, this technique may the possibility of adapting the treatments to the local context of image with a little priori knowledge. This method has been applied on colour images issued from a soccer video of football sports. The obtained results show how his method reconstructs faithfully the size of different region while discriminating textures areas. We next study the influence of statistical parameters and chromatic level on these results.
Keywords :
expectation-maximisation algorithm; image colour analysis; image recognition; image segmentation; image sequences; object detection; chromatic level; colour images; expectation-maximisation algorithm; football images; histogram analysis; image segmentation; object detection; Algorithm design and analysis; Computer vision; Expectation-maximization algorithms; Histograms; Image analysis; Image color analysis; Image segmentation; Object detection; Phase estimation; Statistical analysis; Color; Image segmentation; Image sequence analysis; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 2009. ISCC 2009. IEEE Symposium on
Conference_Location :
Sousse
ISSN :
1530-1346
Print_ISBN :
978-1-4244-4672-8
Electronic_ISBN :
1530-1346
Type :
conf
DOI :
10.1109/ISCC.2009.5202315
Filename :
5202315
Link To Document :
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