The corner matching based on improved singular value decomposition for motion detection

Meng Kang*, Minggang Gan, Tao Cai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This paper proposes a moving object detection algorithm using corner point matching based on singular value decomposition to deal with the problem of the effect because of the changes of light and background. Firstly, the Kalman filtering is used to predict the target center and area; Secondly, corner points are detected in the target area by Harris corner detector; finally, corner matching between the corners of current frame and the corners of target template is based on the improved singular value decomposition algorithm. In this paper, a random sample consistency (RANSAC) algorithm is applied to remove mismatch corner point. And then the moving object is got. At last, experimental results show that the algorithm can more accurately detect moving targets, overcome the effect of the changes of light and background, and have good real-time and robustness.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages3727-3732
Number of pages6
Publication statusPublished - 2012
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference31st Chinese Control Conference, CCC 2012
Country/TerritoryChina
CityHefei
Period25/07/1227/07/12

Keywords

  • Harris corner detection
  • Kalman filter
  • corner point
  • moving target
  • singular value decomposition

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