8654

8035

كارشناسي ارشد

مخابرات ﴿سيستم﴾

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1392

سيزده،87ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

محمدرضا احمدزاده

16/1/93

رسول امير فتاحي

مهندسي برق و كامپيوتر

ID8035

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Moving Object Detection in Aerial Image in Moving Camera Reza Lalechini r lalechini@ec iut ac ir Date of Submission 29 01 2014 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Language Farsi Degree M Sc Supervisor M R Ahmadzadeh Ahmadzadeh@cc iut ac ir Abstract Moving objects detection is one of the important problems in recent years in computer vision Accuracy and reliability of moving object detection algorithms have a direct impact on problems like object tracking and locating One of the main issues of the moving object detection is the movement of camera which is called Ego motion Ego motion concerns 2D motion observed in an image sequence that is caused by 3D camera motion For moving object detection in this situation we must distinguish Ego motion from motion that is caused by movement of objects In most of methods in the first step Ego motion is estimated and compensated from images sequence then the usual methods that are developed for moving object detection in fixed camera images is performed In this research at the first we introduce a mathematical model for Ego motion Then the model is used to group current methods Among the discussed methods features matching approach for its low time and computation complexity and independency form hardware in comparison with other methods was considered In this research we introduce a measure that shows the necessity of making sub images for extracting 1D features form two consequent images Then we show that for extracting 1D features form aerial image making sub images are not necessary Hence we developed an efficient method for moving object detection in aerial image of moving camera which have lower time and computation cost in comparison with others method Beside this advantage the proposed method is able to detect moving objects in scenes that have a uniform background and moving objects have small movement The proposed method implemented in MATLAB and run this in system with processor CORE i3 with frequency 2 53 GHz and 4 GB RAM in windows 7 on the images with resolution 480 640 moving objects are detected in 0 6 second Keywords Moving object detection Ego motion Ego motion compensating Moving Camera

محمدرضا احمدزاده

رسول امير فتاحي