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基于改进光流法的运动目标检测

杨叶梅

计算机与数字工程2011,Vol.39Issue(9):108-110,160,4.
计算机与数字工程2011,Vol.39Issue(9):108-110,160,4.

基于改进光流法的运动目标检测

Moving Objects Tracking Based on Improved Optical Flow Method

杨叶梅1

作者信息

  • 1. 福建师范大学协和学院 福州350002
  • 折叠

摘要

Abstract

In this paper, in order to achieve the detection of moving targets, the optical flow based Horn &. Schunck approach is discussed, and the latter proposed an improved algorithm of optical flow which is based on Gaussian pyramid to finish the extraction of moving regions, combining with the OTSU algorithm and the opening operation and closing operation of morphological filtering. The simulation results and experimental data show that the improved algorithm of optical flow can get moving target area precisely and more time-saving.

关键词

运动目标追踪/Horn&Schunck/金字塔/光流

Key words

the moving objects tracking/Horn & Schunck/gaussian pyramid/optical flows

分类

信息技术与安全科学

引用本文复制引用

杨叶梅..基于改进光流法的运动目标检测[J].计算机与数字工程,2011,39(9):108-110,160,4.

基金项目

福建省自然科学基金项目(编号:2009J01287)资助 (编号:2009J01287)

计算机与数字工程

OACSTPCD

1672-9722

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