Motion analysis and segmentation through spatio-temporal slices processing

This paper presents new approaches in characterizing and segmenting the content of video. These approaches are developed based upon the pattern analysis of spatio-temporal slices. While traditional approaches to motion sequence analysis tend to formulate computational methodologies on two or three a...

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Main Authors: NGO, Chong-wah, PONG, Ting-Chuen, ZHANG, Hong-Jiang
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Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/sis_research/6329
https://ink.library.smu.edu.sg/context/sis_research/article/7332/viewcontent/10.1.1.99.4330.pdf
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spelling sg-smu-ink.sis_research-73322021-11-23T04:57:39Z Motion analysis and segmentation through spatio-temporal slices processing NGO, Chong-wah PONG, Ting-Chuen ZHANG, Hong-Jiang This paper presents new approaches in characterizing and segmenting the content of video. These approaches are developed based upon the pattern analysis of spatio-temporal slices. While traditional approaches to motion sequence analysis tend to formulate computational methodologies on two or three adjacent frames, spatio-temporal slices provide rich visual patterns along a larger temporal scale. In this paper, we first describe a motion computation method based on a structure tensor formulation. This method encodes visual patterns of spatio-temporal slices in a tensor histogram, on one hand, characterizing the temporal changes of motion over time, on the other hand, describing the motion trajectories of different moving objects. By analyzing the tensor histogram of an image sequence, we can temporally segment the sequence into several motion coherent subunits, in addition, spatially segment the sequence into various motion layers. The temporal segmentation of image sequences expeditiously facilitates the motion annotation and content representation of a video, while the spatial decomposition of image sequences leads to a prominent way of reconstructing background panoramic images and computing foreground objects. 2003-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6329 info:doi/10.1109/TIP.2003.809020 https://ink.library.smu.edu.sg/context/sis_research/article/7332/viewcontent/10.1.1.99.4330.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University motion segmentation spatio-temporal slices tensor histogram Computer Sciences Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic motion segmentation
spatio-temporal slices
tensor histogram
Computer Sciences
Graphics and Human Computer Interfaces
spellingShingle motion segmentation
spatio-temporal slices
tensor histogram
Computer Sciences
Graphics and Human Computer Interfaces
NGO, Chong-wah
PONG, Ting-Chuen
ZHANG, Hong-Jiang
Motion analysis and segmentation through spatio-temporal slices processing
description This paper presents new approaches in characterizing and segmenting the content of video. These approaches are developed based upon the pattern analysis of spatio-temporal slices. While traditional approaches to motion sequence analysis tend to formulate computational methodologies on two or three adjacent frames, spatio-temporal slices provide rich visual patterns along a larger temporal scale. In this paper, we first describe a motion computation method based on a structure tensor formulation. This method encodes visual patterns of spatio-temporal slices in a tensor histogram, on one hand, characterizing the temporal changes of motion over time, on the other hand, describing the motion trajectories of different moving objects. By analyzing the tensor histogram of an image sequence, we can temporally segment the sequence into several motion coherent subunits, in addition, spatially segment the sequence into various motion layers. The temporal segmentation of image sequences expeditiously facilitates the motion annotation and content representation of a video, while the spatial decomposition of image sequences leads to a prominent way of reconstructing background panoramic images and computing foreground objects.
format text
author NGO, Chong-wah
PONG, Ting-Chuen
ZHANG, Hong-Jiang
author_facet NGO, Chong-wah
PONG, Ting-Chuen
ZHANG, Hong-Jiang
author_sort NGO, Chong-wah
title Motion analysis and segmentation through spatio-temporal slices processing
title_short Motion analysis and segmentation through spatio-temporal slices processing
title_full Motion analysis and segmentation through spatio-temporal slices processing
title_fullStr Motion analysis and segmentation through spatio-temporal slices processing
title_full_unstemmed Motion analysis and segmentation through spatio-temporal slices processing
title_sort motion analysis and segmentation through spatio-temporal slices processing
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/sis_research/6329
https://ink.library.smu.edu.sg/context/sis_research/article/7332/viewcontent/10.1.1.99.4330.pdf
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