Date of Publication

4-2020

Document Type

Master's Thesis

Degree Name

Master of Science in Electronics and Communications Engineering

Subject Categories

Electrical and Computer Engineering | Electrical and Electronics

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Jay Robert B. Del Rosario

Defense Panel Chair

Argel A. Bandala

Defense Panel Member

Elmer Jose P. Dadios
Robert Kerwin C. Billones

Abstract/Summary

Static CCTV cameras are widely used for road surveillance in ITS such as detecting road obstruction or illegal parking violators. However static camera systems have limitations such as limited or fixed view and prone to occlusion. Thus, this research aims to explore the application of dashboard cameras in detecting potential road violators. This study mainly tackles detecting vehicles in a dynamic background, tracking vehicles despite varying angle views (front, side and, back views) and extracting vehicular information (vehicle type or license plate presence). Several CNN models were compared in order to identify the architecture best suited for the set-up. Aside from extracting the vehicle type and identification tag, feasibility of plate detection was also explored against dashcam’s image quality.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Vehicle detectors; Closed-circuit television; Automobiles—Instrument panels; Automatic tracking

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Embargo Period

4-12-2022

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