NDLI: Performance comparison of the Teknomo-Fernandez algorithm on the RGB and HSV colour spaces

Content Provider	IEEE Xplore Digital Library
Author	Abu, Patricia Angela Fernandez, Proceso
Copyright Year	2014
Description	Author affiliation: Department of Information Systems and Computer Science Ateneo de Manila University Quezon City, Philippines (Abu, Patricia Angela; Fernandez, Proceso)
Abstract	Segmentation of the foreground objects is the primary step in many video analysis applications. The accuracy of the segmentation is dependent on an accurate background image that is used for background subtraction. The Teknomo-Fernandez (TF) algorithm is an efficient algorithm that quickly generates a good background image. A previous study showed the extendibility of the TF algorithm to higher number of frames per tournament, with the original 3 frames TF3L to be the most efficient and best configuration for actual implementation. In this study, we examine the performance of the TF algorithm on both RGB and HSV colour spaces using the TF3, 4 configuration and the Wallflower dataset. A simple background subtraction with threshold is implemented. The performances are measured numerically using the number of false negative and false positive pixel count against the provided ideal foreground image. The results show that the TF algorithm implemented using both RGB and HSV generates accurate background images in a wide range of video settings. The HSV implementation exhibits higher accuracies than the RGB implementation for majority of the test videos with the cost of an increase in processing time.
Starting Page	1
Ending Page	6
File Size	3969497
Page Count	6
File Format	PDF
e-ISBN	9781479940202
DOI	10.1109/HNICEM.2014.7016262
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-12
Publisher Place	Philippines
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Accuracy Boolean operation Image color analysis Computational modeling Conferences Segmentation Background generation Approximation algorithms HSV Nanotechnology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Color image segmentation algorithm based on target characteristic analysis

Performance based algorithm for the detection and extraction of human skin

An efficient detection method for rare colored capsule based on RGB and HSV color space

Bypassing BigBackground: An efficient hybrid background modeling algorithm for embedded video surveillance

Assessment of satellite image segmentation in RGB and HSV color space using image quality measures

Parameter optimization of the SAD-IGMCT for stereo vision in RGB and HSV color spaces

Conversion between Colour Spaces

EM algorithm with improvement for color image segmentation in multiple color spaces

A study of colour transformation for colour deficient individual

Performance comparison of the Teknomo-Fernandez algorithm on the RGB and HSV colour spaces

Similar Documents

Color image segmentation algorithm based on target characteristic analysis

Performance based algorithm for the detection and extraction of human skin

An efficient detection method for rare colored capsule based on RGB and HSV color space

Bypassing BigBackground: An efficient hybrid background modeling algorithm for embedded video surveillance

Assessment of satellite image segmentation in RGB and HSV color space using image quality measures

Parameter optimization of the SAD-IGMCT for stereo vision in RGB and HSV color spaces

Conversion between Colour Spaces

EM algorithm with improvement for color image segmentation in multiple color spaces

A study of colour transformation for colour deficient individual

Performance comparison of the Teknomo-Fernandez algorithm on the RGB and HSV colour spaces