Image Processing Method for Intruder Detection around Power Line Towers
Summary :
The authors propose a method of detecting intruders around power line towers using a new image processing technique. With current technology for outdoor imaging, a varitey of factors may lead to erroneous image processing, such as changes of background brightness, rustling of leaves, mist, rain, intrusion of small animals, etc. These problems were solved as follows. With this method, a change of image, which may indicate an intruder, is first detected using a histogram of the brightness difference between a reference image and an observed image. The detected differences are further analyzed to determine whether they represent a human intruder by evaluating a restraint based on the number, the area, the dimensions of the circumscribing rectangle and the center of gravity of the detected portion. Field testing confirmed the method's usefulness, with a successful intruder detection rate of 82%.
- Publication
- IEICE TRANSACTIONS on Information Vol.E76-D No.10 pp.1153-1161
- Publication Date
- 1993/10/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision Applications)
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Masahisa KANETA, Kimiharu KANEMARU, Hitoshi KANOH, Toshio NAGAI, "Image Processing Method for Intruder Detection around Power Line Towers" in IEICE TRANSACTIONS on Information,
vol. E76-D, no. 10, pp. 1153-1161, October 1993, doi: .
Abstract: The authors propose a method of detecting intruders around power line towers using a new image processing technique. With current technology for outdoor imaging, a varitey of factors may lead to erroneous image processing, such as changes of background brightness, rustling of leaves, mist, rain, intrusion of small animals, etc. These problems were solved as follows. With this method, a change of image, which may indicate an intruder, is first detected using a histogram of the brightness difference between a reference image and an observed image. The detected differences are further analyzed to determine whether they represent a human intruder by evaluating a restraint based on the number, the area, the dimensions of the circumscribing rectangle and the center of gravity of the detected portion. Field testing confirmed the method's usefulness, with a successful intruder detection rate of 82%.
URL: https://global.ieice.org/en_transactions/information/10.1587/e76-d_10_1153/_p
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@ARTICLE{e76-d_10_1153,
author={Masahisa KANETA, Kimiharu KANEMARU, Hitoshi KANOH, Toshio NAGAI, },
journal={IEICE TRANSACTIONS on Information},
title={Image Processing Method for Intruder Detection around Power Line Towers},
year={1993},
volume={E76-D},
number={10},
pages={1153-1161},
abstract={The authors propose a method of detecting intruders around power line towers using a new image processing technique. With current technology for outdoor imaging, a varitey of factors may lead to erroneous image processing, such as changes of background brightness, rustling of leaves, mist, rain, intrusion of small animals, etc. These problems were solved as follows. With this method, a change of image, which may indicate an intruder, is first detected using a histogram of the brightness difference between a reference image and an observed image. The detected differences are further analyzed to determine whether they represent a human intruder by evaluating a restraint based on the number, the area, the dimensions of the circumscribing rectangle and the center of gravity of the detected portion. Field testing confirmed the method's usefulness, with a successful intruder detection rate of 82%.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Image Processing Method for Intruder Detection around Power Line Towers
T2 - IEICE TRANSACTIONS on Information
SP - 1153
EP - 1161
AU - Masahisa KANETA
AU - Kimiharu KANEMARU
AU - Hitoshi KANOH
AU - Toshio NAGAI
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E76-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 1993
AB - The authors propose a method of detecting intruders around power line towers using a new image processing technique. With current technology for outdoor imaging, a varitey of factors may lead to erroneous image processing, such as changes of background brightness, rustling of leaves, mist, rain, intrusion of small animals, etc. These problems were solved as follows. With this method, a change of image, which may indicate an intruder, is first detected using a histogram of the brightness difference between a reference image and an observed image. The detected differences are further analyzed to determine whether they represent a human intruder by evaluating a restraint based on the number, the area, the dimensions of the circumscribing rectangle and the center of gravity of the detected portion. Field testing confirmed the method's usefulness, with a successful intruder detection rate of 82%.
ER -
English
