Title :
Motion objects detection based onwavelet clustering
Author :
Zeng, Li ; Wu, Wenjuan
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
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;
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
DOI :
10.1109/ICCSIT.2009.5234485
