Research on Key Technology for Processing Images from Infrared Trigger Cameras

DOI

10.2991/icmmcce-15.2015.266How to use a DOI?

Keywords

image similarity; infrared trigger; image feature analysis; ROI; color histogram

Abstract

In recent years, infrared trigger cameras are widely employed in the fields of wildlife monitoring and protection as they can collect massive image data. It is of great realistic significance about how to conduct automatic processing of these image data and extract key information. This paper has a detailed analysis about features of images in this type by automatically grouping them based on time intervals in order to eliminate the impact of light intensity on images in different time frames, automatically eliminating the background of those images within the groups and extracting the image area of individual animals (namely Region of Interest, short for ROI) and identifying the image features of these ROI areas in terms of species. The above-mentioned key technique has been tested for many times and achieved quite good results, but still has the potential of further optimization and improvement.

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  - Jian Li
AU  - Lei Zhang
AU  - BaoPing Yan
PY  - 2015/12
DA  - 2015/12
TI  - Research on Key Technology for Processing Images from Infrared Trigger Cameras
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-15.2015.266
DO  - 10.2991/icmmcce-15.2015.266
ID  - Li2015/12
ER  -