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Review of Human Motion Detection based on Background Subtraction Techniques

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 13
Year of Publication: 2015
Arwa Darwish Alzughaibi
Hanadi Ahmed Hakami
Zenon Chaczko

Arwa Darwish Alzughaibi, Hanadi Ahmed Hakami and Zenon Chaczko. Article: Review of Human Motion Detection based on Background Subtraction Techniques. International Journal of Computer Applications 122(13):1-5, July 2015. Full text available. BibTeX

	author = {Arwa Darwish Alzughaibi and Hanadi Ahmed Hakami and Zenon Chaczko},
	title = {Article: Review of Human Motion Detection based on Background Subtraction Techniques},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {13},
	pages = {1-5},
	month = {July},
	note = {Full text available}


For the majority of computer vision applications, the ability to identify and detect objects in motion has become a crucial necessity. Background subtraction, also referred to as foreground detection is an innovation used with image processing and computer vision fields when trying to detect an object in motion within videos from static cameras. This is done by deducting the present image from the image in the background or background module. There has been comprehensive research done in this field as an effort to precisely obtain the region for the use of further processing (e. g. object recognition). This paper provides a review of the human motion detection methods focusing on background subtraction technique.


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