Moving object detection and shadow removal algorithm

DOI

10.2991/ifmeita-16.2016.145How to use a DOI?

Keywords

target detection; shadow removal; Gaussian background model; RGB color information

Abstract

To solve problem of the moving object’s detection and shadow removal with a fixed camera,firstly we use the traditional method-Gaussian Background Model-to extract the background and detect the target with background subtraction algorithm,then we use RGB color information to detect shaded parts in foreground area based on RGB color model by building Gaussian mixture shadow model algorithm to eliminate shadows,finally the experiments have verified the algorithm of this paper,proved that the algorithm can detect the shadow of the target simply,and it can also remove the shadow effectively. To solve problem of the moving object’s detection and shadow removal with a fixed camera,firstly we use the traditional method-Gaussian Background Model-to extract the background and detect the target with background subtraction algorithm,then we use RGB color information to detect shaded parts in foreground area based on RGB color model by building Gaussian mixture shadow model algorithm to eliminate shadows,finally the experiments have verified the algorithm of this paper,proved that the algorithm can detect the shadow of the target simply,and it can also remove the shadow effectively.

Copyright

© 2016, 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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TY  - CONF
AU  - Mengqiao Wang
AU  - Jie Yang
PY  - 2016/01
DA  - 2016/01
TI  - Moving object detection and shadow removal algorithm
BT  - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SP  - 792
EP  - 796
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.145
DO  - 10.2991/ifmeita-16.2016.145
ID  - Wang2016/01
ER  -