Analyze video image fabric using Gabor filter to identify the target and track its motion

This paper investigates the field of Video image analysis depending on texture for detecting a goal and tracing its movement in a video series. Analysing images depending on texture is better than depending on colour or shape , for the goal sometimes depends on different features . The aim of this s...

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Main Author: Abeer Thannon
Format: Article
Language:Arabic
Published: College of Education for Pure Sciences 2018-03-01
Series:مجلة التربية والعلم
Subjects:
Online Access:https://edusj.mosuljournals.com/article_147586_66e90d825fe7d7edee2aafe1b019757e.pdf
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author Abeer Thannon
author_facet Abeer Thannon
author_sort Abeer Thannon
collection DOAJ
description This paper investigates the field of Video image analysis depending on texture for detecting a goal and tracing its movement in a video series. Analysing images depending on texture is better than depending on colour or shape , for the goal sometimes depends on different features . The aim of this study is to propose a method for tracing a goal within a video series after detecting it in each video frame. This study exhibits one of the techniques of extracting the image features depending on the signal frequency through using Gabor filter and in different trends for each frame. Then the histogram is taken for each frame and the frame given the best description for the goal is selected , in which case the threshold is depended . Then it is transformed into the binary form of the video frame ,to decrease time consumed short in detecting the object target . The algorithm is applied to part of the video frame . The location of the object target is determined through calculating the centre for part of the frame and the operation is applied to the series of the frames of the video film . Two films have been adopted as a research sample ,The first is a person„s movement by the traffic lights in al-Nabi Yunus area and the other are the students movement at the university of Mosul in the College of Education.
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spelling doaj.art-5d99ab137edc4c68a62c3008999617202022-12-22T01:54:42ZaraCollege of Education for Pure Sciencesمجلة التربية والعلم1812-125X2664-25302018-03-0127213014510.33899/edusj.2018.147586147586Analyze video image fabric using Gabor filter to identify the target and track its motionAbeer ThannonThis paper investigates the field of Video image analysis depending on texture for detecting a goal and tracing its movement in a video series. Analysing images depending on texture is better than depending on colour or shape , for the goal sometimes depends on different features . The aim of this study is to propose a method for tracing a goal within a video series after detecting it in each video frame. This study exhibits one of the techniques of extracting the image features depending on the signal frequency through using Gabor filter and in different trends for each frame. Then the histogram is taken for each frame and the frame given the best description for the goal is selected , in which case the threshold is depended . Then it is transformed into the binary form of the video frame ,to decrease time consumed short in detecting the object target . The algorithm is applied to part of the video frame . The location of the object target is determined through calculating the centre for part of the frame and the operation is applied to the series of the frames of the video film . Two films have been adopted as a research sample ,The first is a person„s movement by the traffic lights in al-Nabi Yunus area and the other are the students movement at the university of Mosul in the College of Education.https://edusj.mosuljournals.com/article_147586_66e90d825fe7d7edee2aafe1b019757e.pdfvideo imagegabor filtergoalbinary formalgorithm
spellingShingle Abeer Thannon
Analyze video image fabric using Gabor filter to identify the target and track its motion
مجلة التربية والعلم
video image
gabor filter
goal
binary form
algorithm
title Analyze video image fabric using Gabor filter to identify the target and track its motion
title_full Analyze video image fabric using Gabor filter to identify the target and track its motion
title_fullStr Analyze video image fabric using Gabor filter to identify the target and track its motion
title_full_unstemmed Analyze video image fabric using Gabor filter to identify the target and track its motion
title_short Analyze video image fabric using Gabor filter to identify the target and track its motion
title_sort analyze video image fabric using gabor filter to identify the target and track its motion
topic video image
gabor filter
goal
binary form
algorithm
url https://edusj.mosuljournals.com/article_147586_66e90d825fe7d7edee2aafe1b019757e.pdf
work_keys_str_mv AT abeerthannon analyzevideoimagefabricusinggaborfiltertoidentifythetargetandtrackitsmotion