Teknomo–Fernandez algorithm: Difference between revisions

Revision as of 09:02, 26 July 2017

Revision as of 09:04, 26 July 2017

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* {{cite thesis |last=Chu |first=Varian Sherwin B. |title=Background image reconstruction using random frame sampling and logical bit operations |date=2013 |publisher=Ateneo de Manila University }}

==External links==

* [https://www.researchgate.net/publication/273391116_A_Monte-Carlo-based_Algorithm_for_Background_Generation A Monte-Carlo-based Algorithm for Background Generation] - a variant of the [[Teknomo-Fernandez algorithmAlgorithm]] that incorporates the [[Monte-Carlo method]] was developed in this study.

*[http://www.wseas.us/e-library/conferences/2014/Malaysia/ACACOS/ACACOS-03.pdf Background Image Generation Using Boolean Operations] - describes the [[TF algorithmAlgorithm]], its assumptions, processes, accuracy, time and space complexity, and sample results.

*[http://www.wseas.org/multimedia/journals/information/2015/a465709-432.pdf Extending the of the Teknomo-Fernandez Background Image Generation Algorithm on the HSV Colour Space] - explores extending the [[TF algorithmAlgorithm]] from the original [[RGB]] color space to the [[HSV]] color space.

*[https://www.researchgate.net/publication/298791390_Modifying_the_Teknomo-Fernandez_Algorithm_for_Accurate_Real-Time_Background_Subtraction Modifying the Teknomo-Fernandez Algorithm for Accurate Real-Time Background Subtraction] - proposes the use of the [[TF algorithmAlgorithm]] for real-time background subtraction and also the application of some modifications for better accuracy.

*[http://www.wseas.us/e-library/conferences/2014/Malaysia/ACACOS/ACACOS-03.pdf Extendibility of the Teknomo-Fernandez Algorithm for Background Image Generation] - performs the theoretical and empirical analyses of the extendibility of TF3 by considering tournament sizes of 5 (TF5), 7 (TF7) and higher.

*[https://www.semanticscholar.org/paper/Performance-comparison-of-the-Teknomo-Fernandez-al-Abu-Fernandez/c45c7e300e2bbc800f269ddfe22596a8fe7b301f Performance comparison of the Teknomo-Fernandez algorithm on the RGB and HSV colour spaces] - examines the performance of the [[TF algorithmAlgorithm]] on both [[RGB]] and [[HSV]] color spaces.

*[https://www.researchgate.net/publication/273445070_Improving_the_Teknomo-Fernandez_Background_Image_Modeling_Algorithm_for_Foreground_Segmentation Improving the Teknomo-Fernandez Background Image Modeling Algorithm for Foreground Segmentation] - creates a significantly improved TF3 variant and evaluates it using the [[Wallflower dataset]]. It is also compared to state-of-the-art background subtraction algorithms.