@incollection{sharif_object_2008,
	title = {Object {Tracking} in {Video} {Using} {Covariance} {Matrices}},
	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_58},
	abstract = {SynonymsIntergral images for fast covariance computationDefinitionTracking in videos consists in following the successive locations of a given object region. We present an application of a covariance-based feature used as robust image descriptors and related algorithms for object tracking in video.IntroductionThe goal of the detection drudgery is to identify the presence and possibly the location of a given object in a video sequence, whereas the goal of the tracking task is to estimate the successive positions of an object or region using discriminating features through video frames. Tuzel et al. [1] proposed to use the covariance of several image statistics computed inside a region of interest, as the region descriptor. They used integral images for fast covariance computation. Integral images are intermediate image representations used for the fast calculation of region sums [2]. We investigate this covariance-based descriptor for tracking objects in a ...},
	language = {en},
	urldate = {2016-05-03},
	booktitle = {Encyclopedia of {Multimedia}},
	publisher = {Springer US},
	author = {Sharif, Md Haidar and Martinet, Jean and Djeraba, Chabane},
	editor = {Furht, Borko},
	year = {2008},
	note = {00002},
	pages = {676--679}
}

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