A NOVEL OBJECT DETECTION TECHNIQUE IN COMPRESSED DOMAIN

Ahmad, Ashraf M. A.

doi:10.1007/1-4020-4179-9_99

A NOVEL OBJECT DETECTION TECHNIQUE IN COMPRESSED DOMAIN

dc.citation.epage	694	en_US
dc.citation.spage	689	en_US
dc.citation.volume	32	en_US
dc.citation.woscount	0	en_US
dc.contributor.author	Ahmad, Ashraf M. A.	en_US
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	Department of Computer Science	en_US
dc.date.accessioned	2019-05-02T00:26:48Z
dc.date.available	2019-05-02T00:26:48Z
dc.date.issued	2006-01-01	en_US
dc.description.abstract	In this paper we propose a novel approach for robust motion vector based object detection in MPEG-1 video streams. By processing the extracted motion vector fields that are directly extracted from MPEG-1 video streams in the compressed domain, through our proposed system, in order to reduce the noise within the motion vector content, obtain more robust object information, and refine this information. As a result, the object detection algorithm is more capable of accurately detecting objects with more efficient performance.	en_US
dc.identifier.doi	10.1007/1-4020-4179-9_99	en_US
dc.identifier.isbn	978-1-4020-4179-2; 978-1-4020-4178-5	en_US
dc.identifier.journal	COMPUTER VISION AND GRAPHICS (ICCVG 2004)	en_US
dc.identifier.uri	http://dx.doi.org/10.1007/1-4020-4179-9_99	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/151729
dc.identifier.wosnumber	WOS:000463344100099	en_US
dc.language.iso	en_US	en_US
dc.subject	MPEG-1	en_US
dc.subject	Filter	en_US
dc.subject	Object Detection	en_US
dc.subject	Motion Vector	en_US
dc.subject	Gaussian	en_US
dc.subject	Median	en_US
dc.subject	Texture Filter	en_US
dc.title	A NOVEL OBJECT DETECTION TECHNIQUE IN COMPRESSED DOMAIN	en_US
dc.type	Proceedings Paper	en_US

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