BACKGROUND-FOREGROUND TRACKING FOR VIDEO OBJECT SEGMENTATION

被引：0

作者：

Perez-Rua, Juan-Manuel ^{[1
]}

Crivelli, Tomas ^{[1
]}

Perez, Patrick ^{[1
]}

机构：

[1] Technicolor, Rennes, France

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2015年

关键词：

Markov random field; Optical flow; Object tracking;

D O I：

暂无

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：

We present a method to segment objects of interest in video sequences by combining robust background and foreground point tracking with joint color and motion-based segmentation. Our approach is sequential in time, avoiding a global processing of the video, while being simple and generic. This makes the method attractive for online applications, including video editing or augmented reality, as it can be adapted for both automated and interactive work-flows. We present visual and quantitative experiments to compare with existing algorithms, showing promising results.

引用

页码：1613 / 1617

页数：5

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