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Fusion of frequency and spatial doma...

Briassouli, Alexia.

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Fusion of frequency and spatial domain information for motion analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fusion of frequency and spatial domain information for motion analysis./
Author:	Briassouli, Alexia.
Description:	172 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6801.
Contained By:	Dissertation Abstracts International66-12B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3198933
ISBN:	0542445611

Fusion of frequency and spatial domain information for motion analysis.
Briassouli, Alexia.

Fusion of frequency and spatial domain information for motion analysis. - 172 p.

Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6801.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.

Research in digital video technology is constantly evolving, as new communications systems are increasingly using multimedia content. Thus, the analysis of multiple motions in video is particularly important, as it allows the characterization of the sequence, and its segmentation into differently moving entities. Numerous methods have been developed for the motion estimation in video, using information from the spatial or spectral domain.

ISBN: 0542445611Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Fusion of frequency and spatial domain information for motion analysis.
LDR:02707nmm 2200277 4500 001 1819262
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008 130610s2005 eng d
020 $a 0542445611
035 $a (UnM)AAI3198933
035 $a AAI3198933
040 $a UnM $c UnM
100 1 $a Briassouli, Alexia. $3 1908552
245 1 0 $a Fusion of frequency and spatial domain information for motion analysis.
300 $a 172 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-12, Section: B, page: 6801.
500 $a Adviser: Narendra Ahuja.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
520 $a Research in digital video technology is constantly evolving, as new communications systems are increasingly using multimedia content. Thus, the analysis of multiple motions in video is particularly important, as it allows the characterization of the sequence, and its segmentation into differently moving entities. Numerous methods have been developed for the motion estimation in video, using information from the spatial or spectral domain.
520 $a This thesis investigates new approaches for the analysis of multiple motions in video, which integrates frequency and spatial-domain information. The tasks of interest are finding the number of moving objects, velocity estimation, object tracking, and motion segmentation. The proposed hybrid approach performs the motion estimation based on frequency-domain information, but also uses spatial information for precise object localization. Unlike existing frequency-domain methods, the use of this hybrid approach is not limited to constant translational motions, but can also address the problem of roto-translational and nonconstant motions. Frequency information is also used to detect and characterize multiple periodic motions in a video sequence. For this purpose, two methods using time-frequency distributions are presented. The first method is based on the time-frequency analysis of spatial projections of the video sequence, which is computationally efficient and leads to reliable results. The second method overcomes errors introduced by the projection method, by performing the analysis of the sequence in two dimensions. The resulting period estimates are then used to extract the periodically moving objects. The validity, effectiveness, and potential of all proposed approaches is verified through experiments with both synthetic and real video sequences.
590 $a School code: 0090.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 0 $a University of Illinois at Urbana-Champaign. $3 626646
773 0 $t Dissertation Abstracts International $g 66-12B.
790 1 0 $a Ahuja, Narendra, $e advisor
790 $a 0090
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3198933