FEATURE-BASED CORRESPONDENCE ANALYSIS IN COLOR IMAGE SEQUENCES

被引：0

作者：

Al-Hamadi, Ayoub K. ^{[1
]}

Niese, Robert ^{[1
]}

Michaelis, Bernd ^{[1
]}

机构：

[1] Otto von Guericke Univ, Inst Elect Signal Proc & Commun IESK, POB 4210, D-39016 Magdeburg, Germany

来源：

COMPUTER VISION AND GRAPHICS (ICCVG 2004) | 2006年 / 32卷

关键词：

Tracking analysis; feature extraction; color image processing; Segmentation;

D O I：

10.1007/1-4020-4179-9_26

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Feature-based matching frequently suffers from accuracy and performance due to a high number of image features that need to be matched. instead, a hierarchical feature extraction process is used here to solve the correspondence problem in image sequences. In the first step, a modified difference image technique is applied to generate Motion-Blobs. Secondly, a color segmentation is used to determine Motion-Blob sub-segments and the respective set of properties. These properties are used to finally solve the correspondence problem. Consequently stability and accuracy of the motion analysis are increased.

引用

页码：179 / 186

页数：8

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