Proceedings of the 1st International Conference on Information Technologies in Education and Learning

A novel object detection technique for dynamic scene

Authors
Xiu Li, Liansheng Chen, Zhixiong Yang, Wanlu Zhang
Corresponding Author
Xiu Li
Available Online March 2016.
DOI
https://doi.org/10.2991/icitel-15.2016.10How to use a DOI?
Keywords
Object detection; dynamic scene
Abstract
Object detection in video streams plays an important role in many computer vision applications and background subtraction is the most popular method which compares each new frame to a model of the background. However, the static background is practically impossible and dynamic background makes the perfect object detection very difficult. In the paper, based on the visual background extraction (ViBe) algorithm, we present a new method dealing with this problem. A new update mechanism is present to get more robust model for the dynamic regions. We describe our method in full details and compare it to other background subtraction techniques. Our experimental results show that our proposed method outperformed several state-of-the-art object detection approaches. Moreover, it can process 60 frames per second on an Intel i5 3.1GHz CPU with C++ code.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 1st International Conference on Information Technologies in Education and Learning
Series
Advances in Computer Science Research
Publication Date
March 2016
ISBN
978-94-6252-168-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/icitel-15.2016.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiu Li
AU  - Liansheng Chen
AU  - Zhixiong Yang
AU  - Wanlu Zhang
PY  - 2016/03
DA  - 2016/03
TI  - A novel object detection technique for dynamic scene
BT  - Proceedings of the 1st International Conference on Information Technologies in Education and Learning
PB  - Atlantis Press
SP  - 43
EP  - 47
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitel-15.2016.10
DO  - https://doi.org/10.2991/icitel-15.2016.10
ID  - Li2016/03
ER  -