Pedestrian detection method based on Gaussian mixture model and combined feature

ZHENG Rui; SHAO Zong-kai

doi:10.13873/j.1000-9787(2017)07-0150-04

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Pedestrian detection method based on Gaussian mixture model and combined feature

更新时间：2025-09-11

- Pedestrian detection method based on Gaussian mixture model and combined feature
- Vol. 36, Issue 7, Pages: 150-153(2017)
- 作者机构：
  
  昆明理工大学信息工程与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)07-0150-04
  CLC： TP391.41
- Published：2017
- 稿件说明：
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[1]郑锐,邵宗凯.基于混合高斯模型与联合特征的行人检测方法[J].传感器与微系统,2017,36(07):150-153.

ZHENG Rui, SHAO Zong-kai. Pedestrian detection method based on Gaussian mixture model and combined feature[J]. 2017, 36(7): 150-153.
[1]郑锐,邵宗凯.基于混合高斯模型与联合特征的行人检测方法[J].传感器与微系统,2017,36(07):150-153. DOI： 10.13873/j.1000-9787(2017)07-0150-04.

ZHENG Rui, SHAO Zong-kai. Pedestrian detection method based on Gaussian mixture model and combined feature[J]. 2017, 36(7): 150-153. DOI： 10.13873/j.1000-9787(2017)07-0150-04.

摘要

针对视频环境下行人检测多数采用窗口滑动方法识别慢、不能快速找到行人窗口的缺点

提出了一种基于组合算法的行人目标识别方法

利用高斯混合模型方法提取视频中的运动前景

划定一个泛目标窗口

再使用HOG-l bp联合特征训练的分类器对泛目标窗口进行分类

得到分类结果

对行人目标进行标记。经实验验证:该方法相对于当前行人检测方法

检测速度和正确率都取得了很好的效果。

Abstract

Aiming at shortcomings of pedestrian detecting methodes mostly use window slipping

and the method can’t quickly find suspected pedestrian windows in video environment

propose a method to detect pedestrian based on combination algorithms. Firstly sports foreground in video is extracted by Gaussian mixture model（ GMM）method

delimit a suspected pedestrian windows. Then

use classifier based on hog-lbp combined feature training to classify generic target window

and get classification

label pedestrian target result. Through verification of experiment

the method get a good result on detecting speed and accuary compared with current pedestrian detection method.

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references

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