Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Extract Motion from Picture Sequence

MOHD SHAFIQ AHMAD DAHALAN, MOHD SHAFIQ (2008) Extract Motion from Picture Sequence. Universiti Teknologi Petronas, Seri Iskandar,Tronoh,Perak. (Unpublished)

[img]
Preview
PDF
Download (2724Kb) | Preview

Abstract

Optical flow is a concept for estimating motion of objects within a visual representation. Motion is represented as vectors at every pixel in a digital image sequence of two frames which are taken at time t and t + δt respectively. Based on the assumption of the observed brightness (intensity) of any object point is constant over time interval and the movement is small, optical flow equation (OFE) is derived and used in algorithm to calculate optical flow for a particular motion. In order to inject robustness in the algorithm, time-varying uniform illumination and calculation of large range of motion also have been taken into account while formulating the algorithm. The algorithm is used as reference to create a coding input for the MATLAB, which is the software used in this project. As a result, the software generates a separate view of static and moving objects. Further study of the output obtains more accurate data. The experimental process will be carried out using a video as an input to determine whether the project succeeds or need more modifications. The outcome of this project is beneficial for motion analyst to predict the parameter of moving objects, animations, statistics and also robotic eye.

Item Type: Final Year Project
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Users 5 not found.
Date Deposited: 11 Jan 2012 12:24
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/920

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...