Security Tracker by

Jered Olckers

SUPERVISOR: MR. J. CONNAN

Project Overview

The system is used to track a Person across multiple frames using fixed input source

Introduction

Requirement Analysis

High Level Design

Implementation

Testing & Results

User Manual

Demonstration

Requirement Analysis

At least one camera’s connected to a PC

High mega pixel camera

A camera with at least 2mega pixel is required.1.3MP 2MP

Camera should be in a indoor environment

Low quality

Better quality

High Level DesignFlow Chart

Extract Frames

detect skin

Frame differencing

Display Results

To Find and Section person into head,

body, legs

Compare Frames

Implementation

Identification procedure Location of the Face and hands is found using

skin colour Size of the face is used as a reference for the

size of the rest of the body From this body proportions is used to

determine the position of upper body and legs. The body is then divided into 3 areas

Head, upper-body and lower-body For each area the sum of the pixel values is

averaged and later used for comparison.

Implementation 2Reference Frame

Head value

Match No match

Positive

False

Upper body value

Legs value

Testing

Test Case 1Testing the user interface.

Test Case 2Testing accuracy in people ofdifferent and the same skin colour.

Test Case 3

Testing the system in a security scenario.

Test Case 1Testing the user interfaceFeedback

Users had a problem with frame delay and jitter. By optimizing the thread will solve this

problem

Some users wanted identification notification.

Sound and graphical notification was added.

Test Case 1Testing the user interface

Match found message box added

Test Case 2Testing accuracy in different skin colour.

Greater difference in skin colour result in more

accurate and faster identification

A more evenly matched skin colour will rely more on cloths the person is wearing.

Test Case 3Testing the system in a security scenario.

A Camera was placed above the entrance doorway of the honours lab.

The system was then started.

Result Different people was used for

identification.The system worked well.

Description

Test Case 3Testing the system in a security senario.

Mounted webcam

Found Match

User ManualMini-User Manual

References

Skin Detection in Luminance Images using Threshold Technique: Hani. K. Almohair, Abd Rahman Ramli, Elsadig A. M, Shaiful J. Hashim

A Robust Vision-based Moving Target Detection and Tracking System.

Frame-skipping tracking for single object with global motion detection!: Ming Anlong, Ma Huadong

Demo