DocumentCode :
2003628
Title :
Hand detection from silhouette for video surveillance application
Author :
Kong, Win ; Hussain, Aini ; Saad, Mohd Hanif Md ; Tahir, Nooritawati Md
Author_Institution :
Fac. of Eng. & Built Environ., Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
514
Lastpage :
518
Abstract :
The new breakthrough in technology has opened new chances for researchers to develop more advance video surveillance system to provide human a more liveable city. Hand detection from silhouette for video surveillance application is important as it enables the tracking of human hand across video frames. This paper describes the algorithm for hand detection from human silhouette for video surveillance application. The Euclidean distance profile is calculated from the center point of silhouette to every pixel on the silhouette´s edge profile. The first and the third significant peak of the profile were observed to denote the hand location in most cases (85%).
Keywords :
object detection; object tracking; palmprint recognition; video surveillance; Euclidean distance profile; hand detection; human hand tracking; silhouette; video frames; video surveillance; Biological system modeling; Euclidean distance; Head; Humans; Image edge detection; Skeleton; Video surveillance; Hand detection; human body modelling; skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on
Conference_Location :
Melaka
Print_ISBN :
978-1-4673-0960-8
Type :
conf
DOI :
10.1109/CSPA.2012.6194783
Filename :
6194783
Link To Document :
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