UWE Bristol Engineering showcase 2015
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Noor Mazni Ahmad Hamidi<br />
Meng Electrical Electronic<br />
Project Supervisor<br />
Dr. Gary Atkinson<br />
Pedestrian Detection for a Reversing Camera<br />
INTRODUCTION<br />
Pedestrian Detection one of the system that widely applied especially for safety and surveillance area. So that, the propose of this<br />
investigation is to explore methods and ways by using computer vision with some specification that will assist driver to reduce the risk<br />
of a people being run over by a reversing vehicle. There are many system provided same application but each system has advantages<br />
and disadvantages. This project is involved of change in detection, image processing, camera calibration and computer vision. This<br />
investigation will start with to detect pedestrian around car that are static and then will look forward to detect the presence of people<br />
around the cars while the cars is moving.<br />
Method Approach<br />
Initially, there are some different potential method can be<br />
considered to detect an object in an image. One of them is by<br />
using thresholding method.<br />
Thresholding is a process of converting a grayscale input<br />
image to bi-level image by using optimal threshold. This<br />
method is used in this project.<br />
4 Computer Vision<br />
Computer vision has become a high-profile<br />
subject in recent time. It is a field that<br />
includes methods for acquiring, processing,<br />
modelled and understanding image and data<br />
from the real world in order to produce<br />
numerical or symbolic information. Computer<br />
Vision System Toolbox provides a<br />
comprehensive set of algorithms and<br />
functions for object tracking.<br />
2 Column Grid<br />
Type Spec: Calibri 24pt,<br />
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(Bold for headings medium for paragraphs of text). Space<br />
4 Column Grid<br />
Type Spec: Calibri 24pt,<br />
Align Left,<br />
(Bold for headings medium for<br />
paragraphs of text). Space for your<br />
research, theory, experiments,<br />
analysis, simulations, pictures,<br />
tables, diagrams, flowcharts, text<br />
4 Column Grid<br />
Type Spec: Calibri 24pt,<br />
Align Left,<br />
(Bold for headings medium for<br />
paragraphs of text). Space for your<br />
research, theory, experiments,<br />
analysis, simulations, pictures,<br />
tables, diagrams, flowcharts, text<br />
Project summary<br />
This project aimed to use computer vision<br />
approach by using image processing toolbox.<br />
This project it will concentrate to camera that<br />
we build on car to detect presence an object<br />
behind the car with high scale and accuracy.<br />
This detection will enable the driver to be<br />
alerted if a pedestrian were stray behind the<br />
vehicle.<br />
Project Objectives<br />
To provide high quality pedestrian detector in order<br />
to overcome accidents.<br />
To conduct a study the existing systems which rely on<br />
detecting any object close to the cat.<br />
To investigate and study the method by using<br />
computer vision toolbox.<br />
To study and investigate different point of pedestrian<br />
in many scene by using image processing form.<br />
Project Conclusion<br />
Computer vision provided a good method in some<br />
application. The development of computer vision<br />
help human to study and obtain some result in order<br />
to compare and synchronize with the real world. This<br />
project is the beginning of something that could<br />
ultimately give an idea to provide a better system in<br />
term of human safety or pedestrian detection system<br />
application
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