IEICE TRANSACTIONS on Information
Parameter Estimation for Non-convex Target Object Using Networked Binary Sensors
Summary :
We describe a parameter estimation method for a target object in an area that sensors monitor. The parameters to be estimated are the perimeter length, size, and parameter determined by the interior angles of the target object. The estimation method does not use sensor location information, only the binary information on whether each sensor detects the target object. First, the sensing area of each sensor is assumed to be line-segment-shaped, which is a model of an infrared distance measurement sensor. Second, based on the analytical results of assuming line-segment-shaped sensing areas, we developed a unified equation that works with general sensing areas and general target-object shapes to estimate the parameters of the target objects. Numerical examples using computer simulation show that our method yields accurate results.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.4 pp.772-785
- Publication Date
- 2011/04/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.772
- Type of Manuscript
- PAPER
- Category
- Fundamentals of Information Systems
Authors
Keyword
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Hiroshi SAITO, Sadaharu TANAKA, Shigeo SHIODA, "Parameter Estimation for Non-convex Target Object Using Networked Binary Sensors" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 4, pp. 772-785, April 2011, doi: 10.1587/transinf.E94.D.772.
Abstract: We describe a parameter estimation method for a target object in an area that sensors monitor. The parameters to be estimated are the perimeter length, size, and parameter determined by the interior angles of the target object. The estimation method does not use sensor location information, only the binary information on whether each sensor detects the target object. First, the sensing area of each sensor is assumed to be line-segment-shaped, which is a model of an infrared distance measurement sensor. Second, based on the analytical results of assuming line-segment-shaped sensing areas, we developed a unified equation that works with general sensing areas and general target-object shapes to estimate the parameters of the target objects. Numerical examples using computer simulation show that our method yields accurate results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.772/_p
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@ARTICLE{e94-d_4_772,
author={Hiroshi SAITO, Sadaharu TANAKA, Shigeo SHIODA, },
journal={IEICE TRANSACTIONS on Information},
title={Parameter Estimation for Non-convex Target Object Using Networked Binary Sensors},
year={2011},
volume={E94-D},
number={4},
pages={772-785},
abstract={We describe a parameter estimation method for a target object in an area that sensors monitor. The parameters to be estimated are the perimeter length, size, and parameter determined by the interior angles of the target object. The estimation method does not use sensor location information, only the binary information on whether each sensor detects the target object. First, the sensing area of each sensor is assumed to be line-segment-shaped, which is a model of an infrared distance measurement sensor. Second, based on the analytical results of assuming line-segment-shaped sensing areas, we developed a unified equation that works with general sensing areas and general target-object shapes to estimate the parameters of the target objects. Numerical examples using computer simulation show that our method yields accurate results.},
keywords={},
doi={10.1587/transinf.E94.D.772},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Parameter Estimation for Non-convex Target Object Using Networked Binary Sensors
T2 - IEICE TRANSACTIONS on Information
SP - 772
EP - 785
AU - Hiroshi SAITO
AU - Sadaharu TANAKA
AU - Shigeo SHIODA
PY - 2011
DO - 10.1587/transinf.E94.D.772
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2011
AB - We describe a parameter estimation method for a target object in an area that sensors monitor. The parameters to be estimated are the perimeter length, size, and parameter determined by the interior angles of the target object. The estimation method does not use sensor location information, only the binary information on whether each sensor detects the target object. First, the sensing area of each sensor is assumed to be line-segment-shaped, which is a model of an infrared distance measurement sensor. Second, based on the analytical results of assuming line-segment-shaped sensing areas, we developed a unified equation that works with general sensing areas and general target-object shapes to estimate the parameters of the target objects. Numerical examples using computer simulation show that our method yields accurate results.
ER -
English
