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Object Analysis Movement Using Canny Edge Detection (OAMCEDS).

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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.

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