A NOVEL METHOD FOR TRACKING MOVING OBJECTS USING BLOCK-BASED SIMILARITY

被引：0

作者：

Mahdavi, M. ^{[1
]}

Shahrouzi, S. N. ^{[2
]}

Hasanzadeh, R. ^{[2
]}

机构：

[1] Univ Guilan, Dept Comp Engn, POB 3756, Guilan, Iran

[2] Univ Guilan, Dept Elect Engn, Guilan, Iran

来源：

INTERNATIONAL JOURNAL OF ENGINEERING | 2009年 / 22卷 / 01期

关键词：

Object Tracking; Background Subtraction; Machine Vision; Cost Function; Similarity Function;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Extracting and tracking active objects are two major issues in surveillance and monitoring applications such as nuclear reactors, mine security, and traffic controllers. In this paper, a block-based similarity algorithm is proposed in order to detect and track objects in the successive frames. We define similarity and cost functions based on the features of the blocks, leading to less computational complexity of the algorithm. Therefore, this method is suitable for real-time tracking. According to the experimental results, this method has a good performance and works well for occluded objects, cluttered environments and noisy sequences.

引用

页码：35 / 42

页数：8

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