Novel Detection Service Method for Moving Object in IOT

DOI

10.2991/icmemtc-16.2016.338How to use a DOI?

Keywords

GMM; embedded; IOT; moving object; detection service

Abstract

In embedded Internet of Things (IOT) environment, there are the troubles such as complex background, illumination changes, shadows and other factors for detecting moving object, so we put forward a new detection service method through mixing Gaussian Mixture Model (GMM), edge detection service method and continuous frame difference method in this paper. In time domain, the new method uses GMM to model and updates the background. In spatial domain, it uses the hybrid detection service method which mixes edge detection service method, continuous frame difference method and GMM to get initial contour of moving object, and gets ultimate moving object. This method not only can well adapt to the illumination gradients and background disturbance occurred on scene, but also can well solve some problems such as inaccurate target detection, incomplete edge detection, cavitation and ghost which usually appears in traditional method. As experimental result showing, this method holds better real-time and robustness. It is not only easily implemented, but also can accurately detect moving object.

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  - Jie Chen
AU  - Degan Zhang
PY  - 2016/04
DA  - 2016/04
TI  - Novel Detection Service Method for Moving Object in IOT
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1794
EP  - 1800
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.338
DO  - 10.2991/icmemtc-16.2016.338
ID  - Chen2016/04
ER  -