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Insights to Video Analytic Modelling Approach with Future Line of Research

by Madhu Chandra G., Sreerama Reddy G. M.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 7
Year of Publication: 2016
Authors: Madhu Chandra G., Sreerama Reddy G. M.
10.5120/ijca2016911167

Madhu Chandra G., Sreerama Reddy G. M. . Insights to Video Analytic Modelling Approach with Future Line of Research. International Journal of Computer Applications. 147, 7 ( Aug 2016), 15-24. DOI=10.5120/ijca2016911167

@article{ 10.5120/ijca2016911167,
author = { Madhu Chandra G., Sreerama Reddy G. M. },
title = { Insights to Video Analytic Modelling Approach with Future Line of Research },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 7 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 15-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number7/25664-2016911167/ },
doi = { 10.5120/ijca2016911167 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:51:15.597679+05:30
%A Madhu Chandra G.
%A Sreerama Reddy G. M.
%T Insights to Video Analytic Modelling Approach with Future Line of Research
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 7
%P 15-24
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The area of Video analytics has made some significant improvement due to advancement in image processing and datamining techniques. However, the inclination is still towards image contents and less to mined contents owing to many unsolved issues. Although concept of mining is more than 2 decade old, but mining approaches are yet to be standardized in the area of video surveillance system. With evolution of newer set of challenges in video capturing, existing mining models finds itself less applicable due to unstructured format of dynamic frames. Hence, this paper discusses about video analytics and presents a brief discussion of frequently used mining approaches in video as well as discussed some recent studies in this direction in order to scale the degree of effectiveness in existing system. The paper also presents research gap and provided solution as future line of research as a possible way to overcome the research gap.

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Index Terms

Computer Science
Information Sciences

Keywords

Analytics Data Mining Knowledge Discovery Semantics Video.

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