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Survey on Algorithms for Object Tracking in Video

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
G. Lakshmeeswari, K. Karthik
10.5120/ijca2016909686

G Lakshmeeswari and K Karthik. Survey on Algorithms for Object Tracking in Video. International Journal of Computer Applications 141(13):17-22, May 2016. BibTeX

@article{10.5120/ijca2016909686,
	author = {G. Lakshmeeswari and K. Karthik},
	title = {Survey on Algorithms for Object Tracking in Video},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2016},
	volume = {141},
	number = {13},
	month = {May},
	year = {2016},
	issn = {0975-8887},
	pages = {17-22},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume141/number13/24844-2016909686},
	doi = {10.5120/ijca2016909686},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Object tracking is a very essential task in many applications of computer vision such as surveillance, vehicle navigation, autonomous robot navigation, etc. It contains detection of interesting moving objects and tracking of such objects from frame to frame. Its main task is to find and follow a moving object or multiple objects in image sequences. Normally there are three stages of video analysis: object detection, object tracking and object reorganization. This paper presents a brief survey of various video object tracking techniques like point tracking, kernel tracking and Silhouette tracking algorithms.

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Keywords

Object tracking, point tracking, kernel tracking, silhouette tracking.