Real-time video segmentation

被引：0

作者：

Dibos, F ^{[1
]}

Pelletier, S ^{[1
]}

Koep, G ^{[1
]}

机构：

[1] Univ Paris 09, CEREMADE, CNRS, UMR 7534, F-75775 Paris 16, France

来源：

AVSS 2005: ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this article we present a real time algorithm for detecting moving objects in a video sequence taken with a xed camera. When a background estimation is known, the algorithm is able to detect moving objects and locates them approximately. The method is based on a comparison between each image and the background. We use an a contrario model, assuming that moving objects yield locally major changes in the topographic map. Experimental results show that the algorithm is very robust to noise and to the background estimation. Moreover, the algorithm needs few parameters, which are easy to estimate.

引用

页码：382 / 387

页数：6

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