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Vision based Traffic Police Hand Signal Recognition in Surveillance Video - A Survey

by R. Sathya, M. Kalaiselvi Geetha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 9
Year of Publication: 2013
Authors: R. Sathya, M. Kalaiselvi Geetha
10.5120/14037-2192

R. Sathya, M. Kalaiselvi Geetha . Vision based Traffic Police Hand Signal Recognition in Surveillance Video - A Survey. International Journal of Computer Applications. 81, 9 ( November 2013), 1-10. DOI=10.5120/14037-2192

@article{ 10.5120/14037-2192,
author = { R. Sathya, M. Kalaiselvi Geetha },
title = { Vision based Traffic Police Hand Signal Recognition in Surveillance Video - A Survey },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 9 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number9/14037-2192/ },
doi = { 10.5120/14037-2192 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:35.736210+05:30
%A R. Sathya
%A M. Kalaiselvi Geetha
%T Vision based Traffic Police Hand Signal Recognition in Surveillance Video - A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 9
%P 1-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human gesture recognition has become a very important topic in computer vision. The purpose of this survey is to provide a detailed overview and categories of current issues and trends. The recognition of human hand gesture movement can be performed at various level of abstraction. This survey concentrate on approaches that aim on recognizing traffic police hand signals. Many application and algorithms were discussed with the recognition framework. General overview of an traffic control gestures and its various applications where discussed in this paper. Most of the recognition system uses the benchmark datasets like KTH, Weizmann. some other datasets were used by the action recognition system. In this paper image representation,action representation, human action detection, feature extraction and human action recognition were also discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Computer vision traffic control gesture hand action feature extraction Activity recognition.

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