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Security Tracker by

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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Security Tracker by

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  1. Security Trackerby Jered Olckers SUPERVISOR: MR. J. CONNAN

  2. The system is used to track a Person across multiple frames using fixed input source Project Overview

  3. Requirement Analysis • High Level Design • Implementation • Testing & Results • User Manual • Demonstration Introduction

  4. 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

  5. Flow Chart Extract Frames Frame differencing Display Results High Level Design detect skin Compare Frames To Find and Section person into head, body, legs

  6. 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

  7. Reference Frame Head value Upper body value Implementation 2 Legs value Match No match False Positive

  8. 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

  9. 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

  10. Testing the user interface Test Case 1 Match found message box added

  11. 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

  12. 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

  13. Testing the system in a security senario. Mounted webcam Test Case 3 Found Match

  14. Mini-User Manual User Manual

  15. 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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