Sift Based Algorithm for Point Feature Tracking

dc.contributor.author	Burlacu, Adrian
dc.contributor.author	Copot, Cosmin
dc.contributor.author	Lazar, Corneliu
dc.date.accessioned	2016-01-18T14:25:32Z
dc.date.available	2016-01-18T14:25:32Z
dc.date.issued	2007
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3890
dc.description	The Annals of "Dunarea de Jos" University of Galati Fascicle III	en_US
dc.description.abstract	In this paper a tracking algorithm for SIFT features in image sequences is developed. For each point feature extracted using SIFT algorithm a descriptor is computed using information from its neighborhood. Using an algorithm based on minimizing the distance between two descriptors tracking point features throughout image sequences is engaged. Experimental results, obtained from image sequences that capture scaling of different geometrical type object, reveal the performances of the tracking algorithm.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	SIFT feature	en_US
dc.subject	descriptor	en_US
dc.subject	tracking	en_US
dc.subject	magnitude	en_US
dc.title	Sift Based Algorithm for Point Feature Tracking	en_US
dc.type	Article	en_US