Research Article
An Effective Method of Video Segmentation and Summarization for Surveillance
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 95 - Issue 2 |
| Published: June 2014 |
| Authors: Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, Atulkumar Varma, Amit Barve |
10.5120/16563-6227
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Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, Atulkumar Varma, Amit Barve . An Effective Method of Video Segmentation and Summarization for Surveillance. International Journal of Computer Applications. 95, 2 (June 2014), 1-3. DOI=10.5120/16563-6227
@article{ 10.5120/16563-6227,
author = { Pratyush Pranjal,Rohit Lakhdive,Aditya Vasave,Atulkumar Varma,Amit Barve },
title = { An Effective Method of Video Segmentation and Summarization for Surveillance },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 95 },
number = { 2 },
pages = { 1-3 },
doi = { 10.5120/16563-6227 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Pratyush Pranjal
%A Rohit Lakhdive
%A Aditya Vasave
%A Atulkumar Varma
%A Amit Barve
%T An Effective Method of Video Segmentation and Summarization for Surveillance%T
%J International Journal of Computer Applications
%V 95
%N 2
%P 1-3
%R 10.5120/16563-6227
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In today's world, video surveillance has become an integral part of investigation system. Video Segmentation and Summarization plays a crucial role in the field of Video analysis. The paper presents an approach that helps in extracting the movable segments from a large stable video. The system takes the video as input and extracts the movements from the video and identifies the time-intervals. Initially frames (images) are extracted from the video and compared consecutively. If some movements are detected then the movement signatures (start time – end time) are stored. Based on signaturesthe segmented and summarized video is generated. The result shows substantial improvement in video summarization process.
References
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