Motion segmentation of multiple translating objects from line correspondences

被引：8

作者：

Shi, FH ^{[1
]}

Wang, JH ^{[1
]}

Zhang, J ^{[1
]}

Liu, YC ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China

来源：

PATTERN RECOGNITION | 2005年 / 38卷 / 10期

关键词：

dynamic scene; line correspondence; motion segmentation;

D O I：

10.1016/j.patcog.2005.02.017

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 presents an analytic approach to motion segmentation of multiple translating objects from line correspondences in three perspective views. The basic idea of our algorithm is to view the estimation of multiple translational motions as the estimation of a single, though more complex, multibody motion model that is then factored into the original models by polynomial differentiation. Experimental results on synthetic and real scenes are presented. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：1775 / 1778

页数：4

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