Tracking with general regression

被引：5

作者：

Mayol, W. W. ^{[1
]}

Murray, D. W. ^{[2
]}

机构：

[1] Univ Bristol, Dept Comp Sci, Bristol BS8 1UB, Avon, England

[2] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England

来源：

MACHINE VISION AND APPLICATIONS | 2008年 / 19卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

real-time tracking; non-parametric regression; kernel methods;

D O I：

10.1007/s00138-007-0087-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A method is developed to track planar and near-planar objects by incorporating a model of the expected image template distortion, and fitting the sampling region to pre-trained examples with general regression. The approach does not assume a particular form of the underlying space, allows a natural handling of occluding objects, and permits dynamic changes of the scale and size of the sampled region. The implementation of the algorithm runs comfortably in modest hardware at video-rate.

引用

页码：65 / 72

页数：8

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