Motion Objects Detection Based on Wavelet Clustering

被引：0

作者：

Zeng, Li ^{[1
,2
]}

Wu, Wenjuan ^{[3
]}

机构：

[1] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

[2] Grad Univ, Chinese Acad Sci, Beijing, Peoples R China

[3] Renmin Univ China, Sch Informat, Beijing, Peoples R China

来源：

2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 4 | 2009年

基金：

美国国家科学基金会;

关键词：

Object Detection; Frame Difference; Wave Cluster;

D O I：

10.1109/ICCSIT.2009.5234485

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：562 / +

页数：2

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