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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oai:utpedia.utp.edu.my:212092024-07-24T04:46:28Z http://utpedia.utp.edu.my/id/eprint/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. 2015-08 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/21209/1/2014-ELECTRIC-ADAPTIVE%20MOTION%20ESTIMATION%20ALGORITHM%20FOR%20CROWDED%20SCENES-IBRAHIM%20KAJO.pdf KAJO, IBRAHIM (2015) ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES. Masters thesis, Universiti Teknologi PETRONAS. |
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TK Electrical engineering. Electronics Nuclear engineering KAJO, IBRAHIM ADAPTIVE MOTION ESTIMATION ALGORITHM FOR CROWDED SCENES |
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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_facet |
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 |
2015 |
url |
http://utpedia.utp.edu.my/id/eprint/21209/1/2014-ELECTRIC-ADAPTIVE%20MOTION%20ESTIMATION%20ALGORITHM%20FOR%20CROWDED%20SCENES-IBRAHIM%20KAJO.pdf http://utpedia.utp.edu.my/id/eprint/21209/ |
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1805891020870647808 |
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13.214268 |