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 |
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Creators: | Creators Email / ID Num. 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.) |
Keywords: | Moving Object, Security Monitoring, Morphological Operator |
Date: | November 2008 |
URI: | https://ir.uitm.edu.my/id/eprint/43625 |
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