Moving object recognition using background subtraction / Muhamad Shukri Abu Hassan

Abu Hassan, Muhamad Shukri (2008) Moving object recognition using background subtraction / Muhamad Shukri Abu Hassan. [Student Project] (Unpublished)

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Abstract

The approach and solution of recognizing a moving object is very important in many application contexts such as video surveillance both in indoor and outdoor environments, security monitoring, sport matches and others. In this paper, a moving object is identifying from a video sequence. A background subtraction approach used to perform object recognition is proposed. Background subtraction is a technique used for segmenting out objects of interest in a scene by comparing each new frame to a model of the scene background. It involves comparing an observed image with an estimate of the image if it contained no objects of interest. This paper also applied the erosion as a morphological operator to remove noise. After that, Kalman filter is used to keep track of each object incorporating a unique bounding box

Metadata

Item Type: Student Project
Creators:
Creators
Email
Abu Hassan, Muhamad Shukri
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Abd Rahman, Mohamad Faizal
UNSPECIFIED
Subjects: T Technology > TA Engineering. Civil engineering > Applied optics. Photonics
T Technology > TA Engineering. Civil engineering > Applied optics. Photonics > Optical data processing
T Technology > TA Engineering. Civil engineering > Applied optics. Photonics > Optical data processing > Image processing
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons.)
Item ID: 43625
Uncontrolled Keywords: Moving Object, Security Monitoring, Morphological Operator
URI: https://ir.uitm.edu.my/id/eprint/43625

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