Detecting persons concealed in a vehicle
Abstract
An improved method for detecting the presence of humans or animals concealed within in a vehicle uses a combination of the continuous wavelet transform and a ratio-based energy calculation to determine whether the motion detected using seismic sensors placed on the vehicle is due to the presence of a heartbeat within the vehicle or is the result of motion caused by external factors such as the wind. The method performs well in the presence of light to moderate ambient wind levels, producing far fewer false alarm indications. The new method significantly improves the range of ambient environmental conditions under which human presence detection systems can reliably operate.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1175300
- Patent Number(s):
- 6873921
- Application Number:
- 10/673,720
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01V - GEOPHYSICS
G - PHYSICS G08 - SIGNALLING G08B - SIGNALLING OR CALLING SYSTEMS
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Tucker, Jr., Raymond W. Detecting persons concealed in a vehicle. United States: N. p., 2005.
Web.
Tucker, Jr., Raymond W. Detecting persons concealed in a vehicle. United States.
Tucker, Jr., Raymond W. Tue .
"Detecting persons concealed in a vehicle". United States. https://www.osti.gov/servlets/purl/1175300.
@article{osti_1175300,
title = {Detecting persons concealed in a vehicle},
author = {Tucker, Jr., Raymond W.},
abstractNote = {An improved method for detecting the presence of humans or animals concealed within in a vehicle uses a combination of the continuous wavelet transform and a ratio-based energy calculation to determine whether the motion detected using seismic sensors placed on the vehicle is due to the presence of a heartbeat within the vehicle or is the result of motion caused by external factors such as the wind. The method performs well in the presence of light to moderate ambient wind levels, producing far fewer false alarm indications. The new method significantly improves the range of ambient environmental conditions under which human presence detection systems can reliably operate.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2005},
month = {3}
}
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