A novel method for moving object detection in intelligent video surveillance systems

被引：8

作者：

Zhao, Mingying ^{[1
]}

Zhao, Jun ^{[2
]}

Zhao, Shuguang ^{[2
,3
]}

Wang, Yuan ^{[2
]}

机构：

[1] Xidian Univ, Sch Mech Elect Engn, Xian 710071, Peoples R China

[2] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China

[3] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

来源：

2006 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PTS 1 AND 2, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ICCIAS.2006.295372

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the existing approaches to and open problems of extracting moving objects from a video sequence were reviewed briefly, and a novel method was proposed and verified. The method extracts contours of moving objects mainly by combining gradient information extracting with three-frame-differencing and connectivity-testing-based noise reduction. The results of theoretical analyses and computer simulation show that the method has some advantages over its competitors, e.g., having wider application ranges, less computation amount and better real-time performance, and being more robust in a noisy environment.

引用

页码：1797 / 1800

页数：4

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