Non-linear estimation of image motion and tracking

被引：0

作者：

Lanvin, P ^{[1
]}

Noyer, JC ^{[1
]}

Benjelloun, M ^{[1
]}

机构：

[1] Univ Littoral Cotre Opale, Lab Anal Syst Littoral, F-62228 Calais, France

来源：

2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS | 2003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：

This paper details a model-based method to track object in an image sequence and jointly estimates its motion. It uses the grey-level images and no preprocessing, as feature extraction for example, is done on the sequence. The main benefits of this method which avoids this extraction stage is to allow a better localization of the shape. This estimation problem is modelled by state equations which describe the evolution of the object in the sequence and the related measurements and is solved by a non-linear filtering method: the particle filtering.

引用

页码：781 / 784

页数：4

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