Body Height Estimation System Based on Binocular Vision

International journal of online engineering

Guangyi Yang¹ 

[1] School of Electronic Information, Wuhan University, Wuhan, China

关键词: binocular vision;    height measurement;    human body;    Gaussian mixture model;    feature matching;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

In this paper, we propose a novel approach to estimate body height from video sequences based on binocular stereo vision. Firstly, we built a parallel binocular stereo vision device and detected the foreground by using Gaussian mixture model. After shadow elimination, we proposed the contour screening algorithm to obtain the human foreground and the top point in the foreground image. Then, we detected SURF feature points in the binocular images and screened them for 3 times to calculate the disparity of the head. After that, the height of human bodies can be estimated with the calibration parameters of binocular cameras. The experimental results demonstrate that the proposed method has higher measurement accuracy and spends less time which proves the effectiveness of the method.

【 授权许可】

Unknown