Moving object segmentation using the 9/7–10/8 dual-tree complex filter bank

Author

Baradarani, Aryaz ; Wu, Jonathan

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

This paper introduces our recently designed 9/7-10/8 dual-tree complex filter bank and studies its application in moving object detection and segmentation. The dual-tree complex wavelet transform (DT-CWT) is used in edge detection required for segmentation in video frames. The DT-CWT approach is compared with the previous methods based on scalar wavelets and multi-wavelets (MW), using double change detection (DCD) technique. The results show that DT-CWT with the 9/7-10/8 filter bank compare favorably to the previous results in terms of the number of detected edges and the correctness of the segmented area.

Keywords

edge detection; filtering theory; image motion analysis; image segmentation; object detection; wavelet transforms; 9/7-10/8 dual-tree complex filter bank; double change detection; dual-tree complex wavelet transform; edge detection; moving object detection; moving object segmentation; video frame; Application software; Electronic mail; Filter bank; Image edge detection; Noise reduction; Object detection; Object segmentation; Video coding; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761620

Filename

4761620