| Previous | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
¡@
Kuo-Liang Chung, Shih-Wei Yu, Hsueh-Ju Yeh, Yong-Huai Huang and Ta-Jen Yao
Department of Computer Science and Information Engineering
National Taiwan University of Science and Technology
Taipei, 106 Taiwan
E-mail: k.l.chung@mail.ntust.edu.tw
A new fuzzy moving object segmentation algorithm for video sequences is presented
in this paper. Our proposed efficient object segmentation algorithm consists of
three steps, namely the spatial segmentation step, the temporal tracking step, and the step
for identifying the moving object from the frame in a fuzzy way. Especially, our proposed
algorithm can robustly distinguish the foreground part, which is a near stationary
region but surrounded by some regions with moving variation, from the background.
Using several different real video sequences, experimental results demonstrate that the
object segmentation accuracy of our proposed fuzzy-based algorithm is encouraging
when compared to the recently published object segmentation algorithms by Chien et al.
and Kim et al.
Received March 17, 2006; revised September 8 & December 14, 2006; accepted January 16, 2007.
Communicated by Ja-Ling Wu.
*This work was partially supported by the National Science Council of Taiwan, R.O.C. under contract No. 95-
2221-E011-152.