Proceedings of the 3rd International Conference on Computer Science and Service System

Research on Video Object Extraction Technology

Authors
Rencai Gao, Li Zhang
Corresponding Author
Rencai Gao
Available Online June 2014.
DOI
https://doi.org/10.2991/csss-14.2014.35How to use a DOI?
Keywords
video object;object extraction;inter-frame difference; optical flow;background subtraction
Abstract

As the application of intelligent video surveillance system is more and more widely, the scale is also expanding with it. People is also more and more getting attention of the video object extraction which is the key technology in the intelligent video surveillance and attracted plenty of experts and scholars at home and abroad to study. This paper is mainly studying on the video object extraction under the static background, introduces the typical moving object extraction algorithms, analyzes and compares the advantages and disadvantages of various algorithms. We proposed a method which combines the background difference method with the Surendra background update algorithm. Experimental results show that the algorithm can detect the moving objects more efficiently.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Computer Science and Service System
Series
Advances in Intelligent Systems Research
Publication Date
June 2014
ISBN
10.2991/csss-14.2014.35
ISSN
1951-6851
DOI
https://doi.org/10.2991/csss-14.2014.35How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rencai Gao
AU  - Li Zhang
PY  - 2014/06
DA  - 2014/06
TI  - Research on Video Object Extraction Technology
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 153
EP  - 156
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.35
DO  - https://doi.org/10.2991/csss-14.2014.35
ID  - Gao2014/06
ER  -