Motion objects detection based onwavelet clustering

Author

Zeng, Li ; Wu, Wenjuan

Author_Institution

Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China

fYear

2009

fDate

8-11 Aug. 2009

Firstpage

562

Lastpage

566

Abstract

Motion objects detection is a process of segmenting the motion objects or regions from the rest of the sequent images. This paper presents an approach to motion objects detection by applying wavelet clustering with frame difference, which satisfies some requirements of rapid motion objects detection. By analyzing adjacent frame difference results and utilizing multi-resolution property of wavelet clustering analysis, we can identify arbitrary shape multiply motion objects. Experiment results show that good accuracy of proposed algorithm was obtained.

Keywords

image motion analysis; image segmentation; image sequences; object detection; pattern clustering; wavelet transforms; frame difference; motion object detection; motion object segmentation; multiresolution property; sequent image; wavelet clustering; Computer vision; Image motion analysis; Motion analysis; Motion detection; Object detection; Optical filters; Optical noise; Radar tracking; Wavelet analysis; Wavelet transforms; Frame Difference; Object Detection; Wave Cluster;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4519-6

Electronic_ISBN

978-1-4244-4520-2

Type

conf

DOI

10.1109/ICCSIT.2009.5234485

Filename

5234485