文章基本信息

标题：Object Tracking In Images And Videos
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作者：Prof. Shweta K. Talmale ; Prof. Nitin J. Janwe
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：1
页码：15482-15486
DOI：10.18535/Ijecs/v5i1.14
出版社：IJECS
摘要：Object monitoring has usually been a hotspot inside the field of computer imaginative andprescient, which has a number applications in actual world.The object tracking is an essential venture inmany vision applications. The primary steps in video evaluation are: detection of exciting transferringobjects and monitoring of such gadgets from frame to border.Maximum of tracking algorithms use predefinedmethods to manner. on this paper, we introduce the suggest shift monitoring set of rules, which isa kind of vital no parameters estimation method, then we compare the tracking overall performance ofimply shift set of rules on different video sequences.Experimental consequences display that the meanshift tracker is powerful and strong tracking technique
关键词：Object tracking; computer vision; Mean shift; no parameters estimation