AN EVOLVING MOG FOR ONLINE IMAGE SEQUENCE SEGMENTATION

被引：2

作者：

Charron, Cyril ^{[1
]}

Hicks, Yulia ^{[1
]}

机构：

[1] Cardiff Univ, Cardiff, S Glam, Wales

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

10.1109/ICIP.2010.5653846

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

When segmenting image sequences, it is important to ensure the coherency of the produced segments across successive frames. In this paper, we present a method for evolving a Mixture of Gaussian (MoG) to produce such coherent segments. Using a MoG allows us to select the number of components automatically and in a principled way. The parameters of the evolving MoG can vary smoothly to track online the continuous evolution of the feature's distribution. In addition, the complexity of the MoG can vary to cope with incoming or disappearing objects in the sequence. The method is tested on several video sequences and the results are compared to another method, which shows the advantage of the ability to change the number of components automatically for tracking changes in the scene.

引用

页码：2189 / 2192

页数：4

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