A Video Surveillance Oriented 3D Terrain Simplification Algorithm

DOI

10.2991/aiie-15.2015.97How to use a DOI?

Keywords

video surveillance; terrain simplification; terrain features; characteristics of camera; region merging

Abstract

In video surveillance fields, the effectiveness of 3D terrain description method is the base of improving monitoring effect, selecting positions of cameras to be deployed reasonably and scientifically. In this paper, a new local land surface roughness representation method is introduced, and then combined with features of camera forms the measurement of merging neighbouring regions. Experiments show the results of the proposed 3D terrain simplification method, and the effectiveness is also proved. For real 3D terrain data used in the experiments, the number of grids is reduced sharply. The difference between coverage rate to the source terrain and the simplification terrain is small, and has almost the same coverage rate when the number of cameras is enough, which means that covering the source terrain can be guaranteed by covering the simplification terrain.

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  - X. Fu
AU  - J.L. Li
AU  - J.X. Zeng
PY  - 2015/07
DA  - 2015/07
TI  - A Video Surveillance Oriented 3D Terrain Simplification Algorithm
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 350
EP  - 352
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.97
DO  - 10.2991/aiie-15.2015.97
ID  - Fu2015/07
ER  -