PRE2016 4 Groep3
Group members
Student ID | Name |
0900940 | Ryan van Mastrigt |
0891024 | René Verhoef |
0854765 | Lisselotte van Wissen |
0944862 | Sjanne Zeijlemaker |
0980963 | Michalina Tataj |
Introduction
Problem description
Definitions
- Abnormal behaviour
- [explanation]
- Biometrics
- [explanation]
Objectives (/ TO DO list)
Goal: Develop a model for a video-based abnormal behaviour detection program
Objectives of this project:
- Formulate concrete problem statement
- Develop overview of the State-of-the-Art
- List of possible biometrics for detecting abnormal/suspicious behaviour
- List of different methods available for measuring biometrics (pros/cons, what method works best for what purpose/setting)
- Current areas of research
- Problems with current technologies
- Develop model scenarios for determining abnormal behavior
- Determine what constitutes abnormal behavior (heavily dependent on context)
- Determine what scenarios should be looked at (airports, sports stadia, banks)
- What techniques could be used (pros/cons, possible new ideas)
- Develop USE aspects
- Users:
- Develop easy-to-understand graphical interface for primary users
- Maintain sense of participation in primary users
- Conduct survey among general public to research support of such an application and to probe stance on privacy vs security
- Incorporate findings into design
- Society:
- Look into societal advantages (decreased criminal/terrorist activity, global sense of security, decrease in racial/religious tensions)
- Look into societal disadvantages (decrease in (perceived) privacy)
- Incorporate findings into design
- Enterprise:
- Make sure model is economically feasible and can compete with current systems
- Look into advantages/disadvantages for enterprises
- Incorporate findings into design
- Users:
- Finalize actual model design
- Create final presentation
The main goal of the model is to provide a general structure of a program which is capable of identifying suspicious persons for security applications. The method should be based on biometrics which can be used to determine abnormal behavior in order to obtain a higher success rate than comparable human-based surveillance.
The objectives of the model are:
- Technical objectives:
- Decrease false-negative rate compared to human-based surveillance
- Decrease false-positive rate compared to human-based surveillance
- Provide results to primary user(s) (security guards/police)
- USE objectives:
- Users:
- Provide easy-to-understand information to primary user
- Provide a higher sense of security (secondary user)
- Society:
- Decrease terrorist activity
- Higher global sense of security
- Higher crime prevention
- Decrease racial/religious tensions
- Enterprise:
- Create a system which is better than current systems, in order to sell to users
- Be economically feasible
- Decrease damage caused to assets (such as buildings) and maintain company reputation
- Users:
State-of-the-art
Approach
Planning
In order to keep track of the progress of the project and set deadlines for our goals we have made a Gantt chart. This chart shows what tasks are done during what time.
We also made a Resource Gantt chart that shows how tasks are divided over the group members.
Milestones
We consider several milestones based on the tasks that lay before us as can be seen in the Gantt chart in the Planning section:
- Finished the research into what defines abnormal Behaviour. (planned by the end of week 2)
- Finished the research into the existing methods for biometric scanning. (planned by the end of week 3)
- Finished analysing the USE aspects that our project brings with it. (planned by the end of week 3)
- Having developed a model for the detection of abnormal behaviour based on previous research and analyses. (planned by the end of week 6)
- Holding the final presentation presenting our product.(planned by the end of week 8)
- Finalized the wiki for judging. (planned by the end of week 8)
Deliverables
At the end of the project we aim to produce the following deliverables:
- A software model of a biometric scanner that detects suspicious behaviour
- Full documentation of the development and research process on this wiki
- A final presentation explaining said model and process
- A peer review of all group members
USE aspects
User
Primary users
- Security Guards
- Police officers
- Military personnel
Secondary users
- Persons being filmed
Tertiary users
- The people manufacturing the product
- The management responsible for buying the product
User friendliness
Sense of participation
Public survey
Society
Advantages
Terrorist/criminal activity
Security
Racial/religious tensions
Disadvantages
Privacy concerns
Enterprise
Feasibility
Advantages
Disadvantages
Model
[explanation of concept/pseudocode] [link to actual code?]
Results
References
Minutes
<bold>26-04-2017<\bold> The subject of the project has been chosen and the deliverables and objectives (as found on the wiki) have been determined.