DocumentCode :
3064774
Title :
Modify kernel tracking using an efficient color model and active contour
Author :
Babaeian, Amir ; Rastegar, Saeed ; Bandarabadi, Mojtaba ; Erza, Mehran
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
fYear :
2009
fDate :
15-17 March 2009
Firstpage :
59
Lastpage :
63
Abstract :
In this paper, a new method for contour tracking of mobile target in video sequences is presented. Proposed method helps to track variety of targets exactly while the camera is moving. In this study, a new type of active contour is used with a way for estimating motion model of the target. The novelty of this paper comes from using a new color to gray level transform instead of conventional counterpart. Estimating motion model of the target uses color and location information together. This information helps the proposed method to be robust against the aspect change. Our method is compared with two other methods: tracking via single active contour and estimating motion model by using affine transform. Experimental results illustrate our method to outperform the prior ones.
Keywords :
image colour analysis; motion estimation; video signal processing; active contour; color model; color-to-gray level transform; contour tracking; kernel tracking; motion estimation; video sequences; Active contours; Cameras; Face detection; Histograms; Humans; Kernel; Motion estimation; Space technology; Target tracking; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 2009. SSST 2009. 41st Southeastern Symposium on
Conference_Location :
Tullahoma, TN
ISSN :
0094-2898
Print_ISBN :
978-1-4244-3324-7
Electronic_ISBN :
0094-2898
Type :
conf
DOI :
10.1109/SSST.2009.4806821
Filename :
4806821
Link To Document :
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