Research Article

Tracking Direction of Human Movement - An Efficient Implementation using Skeleton

by  Merina Kundu, Dhriti Sengupta, Jayati Ghosh Dastidar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Issue 13
Published: June 2014
Authors: Merina Kundu, Dhriti Sengupta, Jayati Ghosh Dastidar
10.5120/16855-6722
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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 },
                        year    = { 2014 },
                        volume  = { 96 },
                        number  = { 13 },
                        pages   = { 27-33 },
                        doi     = { 10.5120/16855-6722 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Merina Kundu
                        %A Dhriti Sengupta
                        %A Jayati Ghosh Dastidar
                        %T Tracking Direction of Human Movement - An Efficient Implementation using Skeleton%T 
                        %J International Journal of Computer Applications
                        %V 96
                        %N 13
                        %P 27-33
                        %R 10.5120/16855-6722
                        %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
No index terms available.
Keywords

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

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