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Clustering of Human Beings in an Image and Comparing the Techniques on the basis of Accuracy and Time

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Dipen Saini, Ramandeep Kaur
10.5120/ijca2016909174

Dipen Saini and Ramandeep Kaur. Article: Clustering of Human Beings in an Image and Comparing the Techniques on the basis of Accuracy and Time. International Journal of Computer Applications 139(6):39-45, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Dipen Saini and Ramandeep Kaur},
	title = {Article: Clustering of Human Beings in an Image and Comparing the Techniques on the basis of Accuracy and Time},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {139},
	number = {6},
	pages = {39-45},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Data clustering is a method in which we make cluster of objects that are somehow similar in characteristics. The criterion for checking the similarity is implementation dependent. If data has some meaning and it corresponds to a human being, than how we can group it in an image or a video. In this research work, we have used three types of algorithms for group detection in an image. In this paper three types of algorithms are used in group detection which detects groups in an image linear dimensionally.

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Keywords

Data clustering, Digital image, group detection, features extraction.