Document Details

Document Type : Article In Conference 
Document Title :
Efficiency Measurement of Various Denoise Techniques for Moving Object Detection Using Aerial Images
Efficiency Measurement of Various Denoise Techniques for Moving Object Detection Using Aerial Images
 
Subject : Computer Science 
Document Language : English 
Abstract : Noise reduction from aerial images is considered an image restoration mechanism in which it attempts to recover image from a degraded image. Denoising image is considered as the key factor for minimizing the functionality for piecewise smooth image intensity. Efficiency of various denoising techniques depends on frame rate and finally computation time for overall object detection mechanism. Moving object detection is the first step of image denoising as well as object detection. This technique uses segmentation, motion detection and feature extraction technique. The main goal of this paper is to compare various noise reduction techniques incorporated with various moving object detection methods along with various features like edges and corners based detection. Experimentation was done based on two parameters frame rate and computation time which initiate to choose the best denoising method for moving object detection. 
Conference Name : Conference Name: The 5th International Conference on Electrical Engineering and Informatics 2015 
Duration : From : 10 August 2015 AH - To : 11 August 2015 AH
From : 10 August 2015 AD - To : 11 August 2015 AD 
Publishing Year : 1436 AH
2015 AD 
Number Of Pages : 4 
Article Type : Article 
Conference Place : Malaysia 
Organizing Body : ITB Indonesia and UKM Malaysia 
Added Date : Tuesday, March 8, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Anton Satria PrabuwonoSatria Prabuwono, Anton ResearcherDoctorateaprabuwono@kau.edu.sa

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 38357.pdf pdf 

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