Final Fronts PDF
Final Fronts PDF
Final Fronts PDF
A Project Report
On
“MOVEMENT RECOGNITION USING FUZZY LOGIC”
Submitted in partial fulfillment for the award of degree of
BACHELOR OF ENGINEERING
In
ELECTRONICS AND COMMUNICATION ENGINEERING
Submitted by
PRIYA K (1KT16EC419)
Of
2018-2017
ACKNOWLEDGEMENT
The satisfaction and euphoria that accompany the successful completion of any
task would be incomplete without the mention of the people who made it possible whose
constant guidance crowned my efforts with success. I take an opportunity to thank all the
distinguished personalities for their enormous and precious guidance throughout the
duration of this semester.
PRIYA K (1KT16EC419)
SRI KRISHNA INSTITUTE OF TECHNOLOGY
(Affiliated to VTU, Belgavi & approved by AICTE, New Delhi)
No. 29, Chimney Hills, Hesarghatta main Road Chikkabanavara, Bengaluru-560090
CERTIFICATE
EXTERNAL VIVA
1. _____________________ 1.__________________
2._____________________ 2.____________________
ABSTRACT
In this paper, the simple movement (walking human, crawling human, and walking
human) recognition system using the Mamdani fuzzy inference system is introduced.
The membership functions of each input feature are generated automatically without
experts’ prior knowledges. The system produces a very high recognition rate, i.e.,
93.97%, on the validation set of the cross validation. However, there are some
misclassifications between walking dog and crawling human classes. The
misclassifications are mainly from the incomplete segmentation of the objects of
interest.
DECLARATION
I am PRIYA K(1KT16EC419), student of VIII semester department of Electronics
and Communication Engineering , of SRI KRISHNA INSTITUTE IF
TECHNOLOGY, Bengaluru, declare that the project report entitled “MOVEMENT
RECOGNITION USING FUZZY LOGIC” submitted partial fulfillment of the
requirements for the award of Bachelor of Engineering in Electronics and
Communication Engineering of Visvesvaraya Technological University, Belgam
during the year 2018-2019.
PRIYA K
(1KT16EC419)
Place: Bengaluru
Date:
CONTENTS
i. Acknowledgement
ii. Abstract
iii. Declaration
iv. List of Figures
v. Acronyms
INTRODUCTION
1.1 Introduction 1
1.1.1 Introduction to Fuzzy Logic 2
1.1.2 History of Fuzzy Logic 2
1.1.3 Advantages of Fuzzy Logic 2
1.1.4 Disadvantages of Fuzzy Logic 3
1.2 Objective of the Project 3
1.3 Scope of the Project 3
1.4 Significance of the study 4
CHAPTER 2 5-9
LITERATURE SURVEY
CHAPTER 3 10
PROBLEM STATEMENT
3.1 Need 10
3.2 Special Provision 10
3.3 Project Deliverables 10
3.4 Benificiaries 10
CHAPTER 4 11-14
IMPLEMENTATION
4.1 Block Diagram 11
4.2 System Overview 12
CHAPTER 5 15-17
SOFTWARE REQUIREMENTS
5.1 Operating System: WINDOWS XP/07/VISTA 15
5.2 Language: MATLAB Programming Language 15
5.3 Software Packages: MATLAB R2018b 16
CHAPTER 6 18-19
PROPOSED ARCHITECTURE
61. Flow Chart 18
6.2 Working Principle 19
6.3 Overview 19
CHAPTER 7 23-27
MODULES OF SYSTEM
7.1 Automatic Video Surveillance 20
7.1.1 Object Detection 21
7.1.2 Multi-Target Tracking 23
CHAPTER 8 25-26
ADVANTAGES, DISADVANTAGES
& APPLICATIONS
8.1 Advantages 25
8.2 Disadvantages 25
8.3 Applications 25
8.3.1 Public & Commercial Security 25
8.3.2 Smart Video Data Mining 25
8.3.3 Law Enforcement 26
8.3.4 Military Security 26
CHAPTER 9 27
FUTURE ENHANCEMENT &
CONCLUSION
9.1 Future Enhancement 27
9.2 Conclusion 27