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Reseach Article

Tracking Direction of Human Movement - An Efficient Implementation using Skeleton

by Merina Kundu, Dhriti Sengupta, Jayati Ghosh Dastidar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 13
Year of Publication: 2014
Authors: Merina Kundu, Dhriti Sengupta, Jayati Ghosh Dastidar
10.5120/16855-6722

Merina Kundu, Dhriti Sengupta, Jayati Ghosh Dastidar . Tracking Direction of Human Movement - An Efficient Implementation using Skeleton. International Journal of Computer Applications. 96, 13 ( June 2014), 27-33. DOI=10.5120/16855-6722

@article{ 10.5120/16855-6722,
author = { Merina Kundu, Dhriti Sengupta, Jayati Ghosh Dastidar },
title = { Tracking Direction of Human Movement - An Efficient Implementation using Skeleton },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 13 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number13/16855-6722/ },
doi = { 10.5120/16855-6722 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:39.990742+05:30
%A Merina Kundu
%A Dhriti Sengupta
%A Jayati Ghosh Dastidar
%T Tracking Direction of Human Movement - An Efficient Implementation using Skeleton
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 13
%P 27-33
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sometimes a simple and fast algorithm is required to detect human presence and movement with a low error rate in a controlled environment for security purposes. Here a light weight algorithm has been presented that generates alert on detection of human presence and its movement towards a certain direction. The algorithm uses fixed angle CCTV camera images taken over time and relies upon skeleton transformation of successive images and calculation of difference in their coordinates.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Skeleton Fork Points End Points Descriptor Features Centre of Gravity (CG)