An Effective Method to Detect Moving Objects under PTZ Camera

DOI

10.2991/ifmeita-16.2016.111How to use a DOI?

Keywords

dynamic background; motion estimation; cluster; Region of Interesting; gray projection

Abstract

Due to the changes of background, detection of moving objects under PTZ camera becomes critical and full of challenges. To solve this problem, a new method based on K-means clustering is proposed in this paper. Generally speaking, the motion vector of background is not equal to the motion vector of moving object, so that the moving target is extracted from the background. Gray projection method is used to extract Region of Interest (ROI). The global motion vector and motion vectors of blocks in ROI are obtained by block-matching method. K-means clustering is adopted to segment the moving target. By this way moving targets are detected accurately. Experimental results show that the method is not only suitable for fast-moving target, but can also extract the moving target under dynamic background quickly and precisely. So it is indicated that the method has some engineering value.

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  - Huifen Dong
AU  - Jiao Zheng
PY  - 2016/01
DA  - 2016/01
TI  - An Effective Method to Detect Moving Objects under PTZ Camera
BT  - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SP  - 603
EP  - 607
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.111
DO  - 10.2991/ifmeita-16.2016.111
ID  - Dong2016/01
ER  -