APPLICATION OF FLEXIBLE EDGE MATCHING ALGORITHM IN THE FIELD OF MOVING OBJECT DETECTION

被引：2

作者：

Zhao, L. X. ^{[1
]}

Su, Q. ^{[1
]}

Liu, H. ^{[1
]}

Peng, H. ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Sichuan, Peoples R China

来源：

INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2014年 / 20卷 / 04期

关键词：

Moving object detection; Edge matching; Knowledge; Video surveillance; FACE RECOGNITION; FUSION;

D O I：

10.1080/10798587.2014.934601

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Moving object detection is an important branch and foundation of computer vision; it has extensive application prospects in many fields, such as, traffic, military application, industries and bio-medical, et al, and becomes a hot research topic in computer vision field. Because of its inherent complexity, moving object detection still faces lots of challenges. In this paper, based on the existing research achievements, the methods of moving object detection in dynamic environment are studied deeply, a knowledge-based flexible edge matching algorithm is put forward. The effectiveness of the proposed matching algorithm in moving object detection is also demonstrated. The research results here can be provided as the reference for target detection and tracking and some other applications.

引用

页码：515 / 523

页数：9

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