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Security Tracker by. Jered Olckers SUPERVISOR: MR. J. CONNAN. The system is used to track a Person across multiple frames using fixed input source. Project Overview. Requirement Analysis High Level Design Implementation Testing & Results User Manual Demonstration. Introduction.

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Presentation Transcript
security tracker by

Security Trackerby

Jered Olckers

SUPERVISOR: MR. J. CONNAN

introduction

Requirement Analysis

  • High Level Design
  • Implementation
  • Testing & Results
  • User Manual
  • Demonstration
Introduction
requirement analysis

At least one camera’s connected to a PC

  • High mega pixel camera
    • A camera with at least 2mega pixel is required.
Requirement Analysis

1.3MP

2MP

Low quality

Better quality

  • Camera should be in a indoor environment
high level design

Flow Chart

Extract Frames

Frame differencing

Display Results

High Level Design

detect skin

Compare Frames

To Find and Section person into head, body, legs

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
implementation 2

Reference Frame

Head value

Upper body value

Implementation 2

Legs value

Match

No match

False

Positive

testing

Test Case 1

      • Testing the user interface.
    • Test Case 2
      • Testing accuracy in people of

different and the same skin colour.

      • Test Case 3
          • Testing the system in a security

scenario.

Testing
test case 1

Testing the user interface

Feedback

  • 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 1
test case 11

Testing the user interface

Test Case 1

Match found message box added

test case 2

Testing 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 2
test case 3

Testing the system in a security scenario.

Description

  • 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.
Test Case 3
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
References

Demo

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