ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES

The motion estimation in video pictures has attracted a great deal of interest in computer vision. For crowd analytics and surveillance systems, motion estimation is an indispensable first-step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian...

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Main Author: KAJO, IBRAHIM
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21209 /
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: http://utpedia.utp.edu.my/21209/1/2014-ELECTRIC-ADAPTIVE%20MOTION%20ESTIMATION%20ALGORITHM%20FOR%20CROWDED%20SCENES-IBRAHIM%20KAJO.pdf
http://utpedia.utp.edu.my/21209/
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spelling utp-utpedia.212092021-09-16T12:37:45Z http://utpedia.utp.edu.my/21209/ ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES KAJO, IBRAHIM TK Electrical engineering. Electronics Nuclear engineering The motion estimation in video pictures has attracted a great deal of interest in computer vision. For crowd analytics and surveillance systems, motion estimation is an indispensable first-step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. Most of this method depends on optical flow and background subtraction. Several areas, such as evacuation movements, pedestrian movements at transit stations and local interaction behavior, were studied. However, algorithms based on optical flow and background subtraction cannot estimate themotion in real timeespecially in crowded scenes. 2014-08 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21209/1/2014-ELECTRIC-ADAPTIVE%20MOTION%20ESTIMATION%20ALGORITHM%20FOR%20CROWDED%20SCENES-IBRAHIM%20KAJO.pdf KAJO, IBRAHIM (2014) ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
KAJO, IBRAHIM
ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
description The motion estimation in video pictures has attracted a great deal of interest in computer vision. For crowd analytics and surveillance systems, motion estimation is an indispensable first-step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. Most of this method depends on optical flow and background subtraction. Several areas, such as evacuation movements, pedestrian movements at transit stations and local interaction behavior, were studied. However, algorithms based on optical flow and background subtraction cannot estimate themotion in real timeespecially in crowded scenes.
format Thesis
author KAJO, IBRAHIM
author_sort KAJO, IBRAHIM
title ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
title_short ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
title_full ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
title_fullStr ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
title_full_unstemmed ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES
title_sort adaptive motion estimation algorithm for crowded scenes
publishDate 2014
url http://utpedia.utp.edu.my/21209/1/2014-ELECTRIC-ADAPTIVE%20MOTION%20ESTIMATION%20ALGORITHM%20FOR%20CROWDED%20SCENES-IBRAHIM%20KAJO.pdf
http://utpedia.utp.edu.my/21209/
_version_ 1741195719422771200
score 11.62408

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