Browse By Repository:

 
 
 
   

Human Pedestrian Detection For Surveillance System

Faisal, Mohamad Fadli (2016) Human Pedestrian Detection For Surveillance System. Project Report. UTeM, Melaka, Malaysia . (Submitted)

[img] Text (24 Pages)
Human Pedestrian Detection For Surveillance System.pdf - Submitted Version

Download (282kB)

Abstract

Over the last years, detecting human in pedestrian surveillance system video is crucial for diverse application area. For example, it can overcome the terrorism, some general social problem and violence by providing the surveillance to the pedestrian. This also ensure them in a very close watch to keep them in secure environment. So, this project will be focusing on the designing system that can detect human that been recorded by the camera. The purpose is to detect human in the system. In other statement, can be said that the video surveillance system is nothing but recording and highlight pedestrian. In this research, several parameters should be take into consideration. Then, is the system will be tested in outdoor and indoor environment to take sample of the detection using different light intensity. System also being test with difference distance to get the best range between human and camera that the system can perform. Lastly the system is test using multiple number of human that pass by the surveillance area. Maybe, when the system being analyse some problem will occur and some error will form on the frame image. In order to detect human, we must use some technique such as Motion Detection and Histogram of Gradient. Thus, the moving entities in the video then will be differentiate either it human or non-human using this technique. As a results this system is expected to detect human pedestrian precisely.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Imaging systems, Image processing -- Digital techniques
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Electrical Engineering
Depositing User: Muhammad Afiz Ahmad
Date Deposited: 16 Nov 2017 08:54
Last Modified: 16 Nov 2017 08:54
URI: http://digitalcollection.utem.edu.my/id/eprint/19982

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year