Moving Object Detection System Based on the Modified Temporal Difference and OTSU algorithm
Objective
In this work, a combinational approach for moving object detection is proposed. Here, the difference images are calculated by subtracting two input modified frames, at each pixel position.
Abstract
In this paper, we have proposed a robust and computationally inexpensive threefold algorithm used for the detection of moving objects in a video sequence. The adopted algorithm starts with computation of difference between images using modified temporal difference. Images differencing are calculated by subtracting two input frames, at each position of the pixel. Instead of generating image differencing using the traditional continuous approach, we have proposed to use a fixed and modified number of alternate frames cantered on the current frame. This approach aims to reduce the computational complexity without compromising on image differencing quality. Object segmentation is finally performed on the refined difference image by the Otsu’s algorithm. The evaluation tests show that the proposed approach reaches the better performance of detection compared with other approaches.
Keywords: Modified Temporal Difference, Moving Object Detection, three frame differencing, OTSU algorithm.
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Block Diagram
Specifications
Software: Matlab 2020a 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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