Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Method for Shadow Removal of Moving Object in YUV Color Space

Authors
Yongsheng Hu, Liyong Nan
Corresponding Author
Yongsheng Hu
Available Online July 2016.
DOI
10.2991/iccia-17.2017.118How to use a DOI?
Keywords
YUV; Color Space; Moving Object Detection; Shadow Detection; Shadow Removal.
Abstract

In the course of moving object detection, the shadow of objects may arise many problems, such as the distortion of the object shape, the adhesion between different objects and so on. To cope with these problems, a fast shadow removal method based on video image is proposed. By the computing model based on YUV color space, the distortion coefficient between moving object and background can be obtained, and then the shadow can be removed by this value. Finally, experimental results show that the method for shadow removal can detect the shadow and separate several joined objects correctly.

Copyright
© 2017, 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 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.118How to use a DOI?
Copyright
© 2017, 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  - Yongsheng Hu
AU  - Liyong Nan
PY  - 2016/07
DA  - 2016/07
TI  - Method for Shadow Removal of Moving Object in YUV Color Space
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 689
EP  - 693
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.118
DO  - 10.2991/iccia-17.2017.118
ID  - Hu2016/07
ER  -