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Pivot-Object Motion Detection using Outcode - Nonatree

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International Conference on Electronics, Information and Communication Engineering
© 2011 by IJCA Journal
ICEICE - Number 5
Year of Publication: 2011
Authors:
Pallavi Upadhyay
D K Sharma
Mukesh Upadhyay

Pallavi Upadhyay, D K Sharma and Mukesh Upadhyay. Article: Pivot-Object Motion Detection using Outcode - Nonatree. IJCA Special Issue on Electronics, Information and Communication Engineering ICEICE(5):5-7, December 2011. Full text available. BibTeX

@article{key:article,
	author = {Pallavi Upadhyay and D K Sharma and Mukesh Upadhyay},
	title = {Article: Pivot-Object Motion Detection using Outcode - Nonatree},
	journal = {IJCA Special Issue on Electronics, Information and Communication Engineering},
	year = {2011},
	volume = {ICEICE},
	number = {5},
	pages = {5-7},
	month = {December},
	note = {Full text available}
}

Abstract

Motion gaming and hand or body gestured controlled systems (Augmented Reality) is the future ahead, where the movement of hands or movement of pivot-object is used for exerting the controls, eliminating the need of joysticks and control pads.

In this paper we propose Outcode-Nonatree (OCNT), as a new methodology of identifying the motion of pivot-object in vicinity of camera. A live image of pivot-object is captured via camera; it is divided into 9 partitions (Nona-tree Partitions), labeled, using outcode. Then, recursively these partitions are scanned for appearance of pivot-object, till the partitioning fits approximately to the object size. This partition then defines the current position of the pivot-object, used to take the motion decisions.

The proposed methodology is applied for learning, memorizing and then identifying the position of the pivot-object.

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