Browse By Repository:

 
 
 
   

Object Analysis Movement Using Canny Edge Detection (OAMCEDS)

Nor Farhana , Saidina Hamzah (2011) Object Analysis Movement Using Canny Edge Detection (OAMCEDS). Project Report. UTeM, Melaka, Malaysia. (Submitted)

[img] PDF (24 pages)
Object_Analysis_Movement_Using_Canny_Edge_Detection_(OAMCEDS)_-_24_pages.pdf - Submitted Version

Download (556kB)
[img] PDF (Full Text)
Object_Analysis_Movement_Using_Canny_Edge_Detection_(OAMCEDS)_-_Full_Text.pdf - Submitted Version
Restricted to Registered users only

Download (2MB)

Abstract

Object Analysis Movement using Canny Edge Detection System (OAMCEDS) is a system that develops in order to improve the use of closed circuit television (CCTV). OAMCEDS will integrate with current CCTV added with feature extraction and edge detection function to detect the object movement. The problem of this project are how to differentiate between static and non-static movement, how to get standardize movement result and how to determine object behavior. Methodology that uses to implement OAMCEDS is Database Life Cycle (DBLC) while software that use are MySQL and Matlab. The result that gets from this project is Canny Edge Detection technique is suitable to use in condition where the images has noise. OAMCEDS can be implemented in shopping mall, library or museum as long as there has a CCTV.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Database design, Computational intelligence, Image processing -- Data processing
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FTMK
Depositing User: Ahmad Abu Bakar
Date Deposited: 18 Oct 2012 06:14
Last Modified: 28 May 2015 03:42
URI: http://digitalcollection.utem.edu.my/id/eprint/6395

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year