Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos

Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos

We propose a joint optical flow and principal component analysis (PCA) method for motion detection. PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently detect moving objects an...

Full description

Bibliographic Details
Main Authors: Kui Liu, Qian Du, He Yang, Ben Ma
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2010/680623
id doaj-c2d23c0dd366405a877d7632fccb1553
record_format Article
spelling doaj-c2d23c0dd366405a877d7632fccb15532020-11-24T21:08:15ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-01201010.1155/2010/680623Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor VideosKui LiuQian DuHe YangBen MaWe propose a joint optical flow and principal component analysis (PCA) method for motion detection. PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently detect moving objects and more successfully suppress small turbulence. It is particularly useful for motion detection from outdoor videos with low quality. It can also effectively delineate moving objects in both static and dynamic background. Experimental results demonstrate that this approach outperforms other existing methods by extracting the moving objects more completely with lower false alarms. http://dx.doi.org/10.1155/2010/680623
collection DOAJ
language English
format Article
sources DOAJ
author Kui Liu
Qian Du
He Yang
Ben Ma
spellingShingle Kui Liu
Qian Du
He Yang
Ben Ma
Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos
EURASIP Journal on Advances in Signal Processing
author_facet Kui Liu
Qian Du
He Yang
Ben Ma
author_sort Kui Liu
title Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos
title_short Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos
title_full Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos
title_fullStr Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos
title_full_unstemmed Optical Flow and Principal Component Analysis-Based Motion Detection in Outdoor Videos
title_sort optical flow and principal component analysis-based motion detection in outdoor videos
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2010-01-01
description We propose a joint optical flow and principal component analysis (PCA) method for motion detection. PCA is used to analyze optical flows so that major optical flows corresponding to moving objects in a local window can be better extracted. This joint approach can efficiently detect moving objects and more successfully suppress small turbulence. It is particularly useful for motion detection from outdoor videos with low quality. It can also effectively delineate moving objects in both static and dynamic background. Experimental results demonstrate that this approach outperforms other existing methods by extracting the moving objects more completely with lower false alarms.
url http://dx.doi.org/10.1155/2010/680623
work_keys_str_mv AT kuiliu opticalflowandprincipalcomponentanalysisbasedmotiondetectioninoutdoorvideos
AT qiandu opticalflowandprincipalcomponentanalysisbasedmotiondetectioninoutdoorvideos
AT heyang opticalflowandprincipalcomponentanalysisbasedmotiondetectioninoutdoorvideos
AT benma opticalflowandprincipalcomponentanalysisbasedmotiondetectioninoutdoorvideos
_version_ 1716760269564149760

Similar Items