Video Enhancement and Face Detection
Objective
The objective of this project is to develop a video enhancement and face detection system that can improve the quality of low-resolution videos and identify faces in the footage.
Abstract
In this study, a real-time system which counts the number of people with the help of a camera was demonstrated. Computers are irreplaceable components of our daily lives for years. Their adjustable and programmable structures make them crucial for the industry to major applications. This work is carried out in the place/library at any environment. This system is used to recognize moving humans on the visual field of the camera by finding the faces of the humans. According to motion information of humans, a counter was used to count the number of people in the place/library by determining whether going inside or outside. The counter will inform the users about information of people at any place is empty or not. The system detects faces using the Viola-Jones algorithm, detects min-eigen corners within each face's bounding box, and tracks the corners using the Kanade-Lucas-Tomasi (KLT) algorithm. The results were presented in Matlab environment.
Keywords: Video/Image Processing, Matlab, Kanade-Lucas-Tomasi Algorithm.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2018a or above
Hardware:
Operating Systems:
· Windows 10
· Windows 7 Service Pack 1
· Windows Server 2019
· Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
