Traffic analyzer using image processing

Ayub, Adi Abadi (2008) Traffic analyzer using image processing. [Student Project] (Unpublished)

Abstract

Traffic analyzer using image processing is PC based window application which capable to analyze traffic parameter such as vehicle rate by using image processing technique. Input of this application is video file which contain captured video on all top view of road. This program will fragment that video file to be several number of frame image. The image will be masked to remove irrelevant area so that not influence further processing. Captured present image and background image will be compared to extract foreground object which is usually a vehicle. Then, segmentation process will evaluate that compared image to get presence of the vehicle. Segmented image always come with noise. For this reason, median filtering is applied to segmented image to get clearer image. Then, object filtration processor will process filtered image to filter the vehicle on the image. Object filtration is based on object size in the image. Then, that frame will compare with previous frame to acquire the number of new vehicle in a present frame. That acquisition number of new vehicle in a frame will increment the present vehicle counter register.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Ayub, Adi Abadi
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Boudville, Rozan
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Computer engineering. Computer hardware > Malaysia
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Electrical Engineering
Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Programme: Bachelor (Hons.) in Electrical Engineering - Instrumentation
Keywords: Traffic analyzer, image processor, frame image
Date: April 2008
URI: https://ir.uitm.edu.my/id/eprint/123395
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