A Background Modeling Approach Based on Visual Background Extractor

DOI

10.2991/icmmcce-15.2015.490How to use a DOI?

Keywords

ViBe, Background modeling, Moving objects detection, Frame subtraction.

Abstract

Moving objects detection is an important research content in computer vision field and it plays a very important role in many vision applications such as smart video surveillance, intelligent transportation, and human-computer interaction, traffic control, activity recognition, object tracking and behavior understanding. The visual background extractor (ViBe) is a classical approach, however, when a moving objects in the initialized frame, it will take a lot time to fuse the gost and when there braches or surface of the water in the frame, it can make more false detection. In this paper, an algorithm based on ViBe is proposed. Though frame subtraction we acquire a real background, moreover we initial the model. On the other hand, we use 3-5 frames initial the model. The improved approaches solve the problems of gost or blinking pixels. Experiment show that, the algorithm can improve the effective of detection in the specific scene with similar computer load.

Copyright

© 2015, 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  - Taotao Liu
AU  - Lin Qi
AU  - Guichi Liu
PY  - 2015/12
DA  - 2015/12
TI  - A Background Modeling Approach Based on Visual Background Extractor
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.490
DO  - 10.2991/icmmcce-15.2015.490
ID  - Liu2015/12
ER  -