@incollection{furht_video-based_2008,
	title = {Video-{Based} {Face} {Recognition}},
	copyright = {©2008 Springer-Verlag},
	isbn = {978-0-387-74724-8 978-0-387-78414-4},
	url = {http://link.springer.com/referenceworkentry/10.1007/978-0-387-78414-4_239},
	abstract = {DefinitionVideo-based face recognition in image sequences has gained increased interest based primarily on the idea expressed by psychophysical studies that motion helps humans recognize faces, especially when spatial image quality is low.Although face recognition has been an active research topic for decades, the traditional recognition algorithms are all based on static images. However, during the last years face recognition in image sequences has gained increased interest based primarily on the idea expressed by psychophysical studies that motion helps humans recognize faces, especially when spatial image quality is low.Video-based face recognition systems consist of three modules: a detection module, a tracking module and a recognition module. Given a frame of a video sequence, the detection module locates face candidates, while the tracking module finds the exact position of facial features in the current frame based on an estimate of face or feature locations in the pre ...},
	language = {en},
	urldate = {2016-05-03},
	booktitle = {Encyclopedia of {Multimedia}},
	publisher = {Springer US},
	editor = {Furht, Borko},
	year = {2008},
	note = {00000},
	pages = {961--962}
}

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