ROBUST APPROACH TO TRACKING HUMAN MOTION IN REAL SCENES

被引：1
|
作者：
ASSERETO, M
FIGARI, G
TESEI, A
机构：
[1] Department of Biophysical and Electronic Engineering (DISE), University of Genoa, 16145 Genova
来源：
ELECTRONICS LETTERS | 1994年 / 30卷 / 24期
关键词：
KALMAN FILTERS; MOTION ESTIMATION;
D O I：
10.1049/el:19941410
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A computational system for estimating the positions and the movements of human bodies interacting in real scenes is described. The approach consists of three steps: mathematical modelling of the human body; extraction and matching of corresponding 2-D fears from a sequence of images; estimation of the motion and structure parameters by using Kalman filtering.
引用
收藏
页码：2013 / 2014
页数：2
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