Moving object Segmentation

被引：0

作者：

Zinbi, Youssef ^{[1
]}

Chahir, Youssef ^{[1
]}

Elmoataz, Abder ^{[1
]}

机构：

[1] Univ Caen, CNRS, GREYC, URA 6072, F-14032 Caen, France

来源：

2008 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES: FROM THEORY TO APPLICATIONS, VOLS 1-5 | 2008年

关键词：

Optical Flow; Active Contour; Tracking; Image and Video Segmentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents an object segmentation approach that combines optical flow and active contour model to characterize objects and follow them in video sequences. Our aims is to discriminate moving objects from a static background. The approach is based on a minimization of a functional of energy (E) which uses perceptual information in regions of interest (ROI) in an image, in conjunction with a mixture of Gaussian to model voxels of the background image and those of the visual objects. In this work, we compute the optical flow then we use the result of the optical flow as an input in an active contour model. Experiments with a number of test sequences are promising and extend the numerous works on this subject.

引用

页码：1132 / 1136

页数：5

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