Dr. Tsaipei Wang Profile

Dr. Tsaipei Wang

at Univ of Missouri/Columbia

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Author

Publications (8)

Proceedings Article | 18 May 2006 Paper

On the confidence level fusion of IR and forward-looking GPR

T. Wang, J. Keller, M. Busch, P. Gader, C. Hawkins, J. McElroy, K. Ho

Proceedings Volume 6217, 62172T (2006) https://doi.org/10.1117/12.666282

KEYWORDS: General packet radio service, Infrared imaging, Land mines, Target detection, Hough transforms, Detection and tracking algorithms, Image fusion, Mining, Infrared sensors, Infrared cameras

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Proceedings Article | 10 June 2005 Paper

Landmine detection using forward-looking GPR with object tracking

Tsaipei Wang, Ozy Sjahputera, James Keller, Paul Gader

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.604172

KEYWORDS: Mining, Land mines, General packet radio service, Detection and tracking algorithms, Radar, Metals, Calibration, Ground penetrating radar, Image processing, Image segmentation

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Proceedings Article | 10 June 2005 Paper

Feature analysis for forward-looking landmine detection using GPR

Tsaipei Wang, Ozy Sjahputera, James Keller, Paul Gader

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.604185

KEYWORDS: Polarization, Mining, Land mines, General packet radio service, Calibration, Feature extraction, Metals, Polarimetry, Ferroelectric LCDs, Synthetic aperture radar

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Proceedings Article | 21 September 2004 Paper

Phase signatures in acoustic-seismic landmine detection

Tsaipei Wang, James Keller, Paul Gader, Ali Hocaoglu

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.544330

KEYWORDS: Land mines, Acoustics, Laser Doppler velocimetry, Oscillators, Solids, Mining, Detection and tracking algorithms, Image processing, Doppler effect, Data acquisition

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Proceedings Article | 21 September 2004 Paper

Experiments in tripwire detection using visible and near-IR imagery

Robert Luke, James Keller, Paul Gader, Marjorie Skubic, Tsaipei Wang

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.544332

KEYWORDS: Near infrared, Cameras, Visible radiation, Detection and tracking algorithms, Fuzzy logic, Image fusion, Hough transforms, Image resolution, Image processing, Infrared imaging

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Proceedings Article | 11 September 2003 Paper

Model-based landmine detection algorithms for acoustic/seismic data

Tsaipei Wang, James Keller, Paul Gader, Gerhard Ritter, Ali Hocaoglu, Mark Schmalz

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.488731

KEYWORDS: Mining, Land mines, Acoustics, Data modeling, Detection and tracking algorithms, Oscillators, Image processing, Model-based design, Laser Doppler velocimetry, Phase velocity

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Proceedings Article | 11 September 2003 Paper

Fusion of acoustic/seismic and GPR detection algorithms

Paul Gader, Joseph Wilson, Tsaipei Wang, James Keller, Wen-Hsiung Lee, Roopnath Grandhi, Ali Hocaoglu, John McElroy

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.488733

KEYWORDS: General packet radio service, Acoustics, Mining, Sensors, Land mines, Metals, Palladium, Detection and tracking algorithms, Data acquisition, Algorithm development

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A variety of sensors have been investigated for the purpose of detecting buried landmines in outdoor environments. Mines with little or no metal are very difficult to detect with traditional mine detection systems. Ground Penetrating Radar (GPR) sensors have shown great promise in detecting low metal mines and can easily detect metal mines. Unfortunately, it can still be difficult to detect low-metal mines with GPR due to very low contrast between the mine and the surrounding medium. Acoustic-seismic systems were proposed by Sabatier et.al. and have also shown great promise in detecting low metal mines. There are now a wealth of references that discuss these systems and algorithms for processing data from these systems. Therefore, they will not be discussed in detail here. In fact, low-metal mines are easier to detect than metal mines with this acoustic-seismic systems. Low metal mines that are difficult for a GPR to detect can be quite easy to detect with acoustic-seismic systems. Sensor fusion with these sensors is of interest since together they can find a broader range of mines with relative ease. The algorithmic challenge is to determine a strategy for combining the multi-sensor information in a way that can increase the probability of detection without increasing the false alarm rate significantly. In this paper, we investigate fusion of information obtained from GPR and acoustic-seismic on real data measured from a mine lane containing three types of buried landmines and also areas containing no landmines. Algorithms are applied to data acquired from each sensor and confidence values are assigned to each location at which a measurement is made by each sensor. The GPR is used as a primary sensor. At each location at which the GPR algorithm declares an alarm, a modified likelihood-based approach is used to increase the GPR derived confidence if the likelihood that a mine is present, defined by the acoustic-based confidence, is larger than the likelihood that no mine is present. If the acoustic-derived confidence is very high, then a declaration is made even if there is no GPR declaration. The experiments were conducted using data acquired from the sensors at different times. The acoustic-seismic system collected data over a subset of the region at which the GPR collected data. Results are given only over those regions for which both sensors collected data.

Proceedings Article | 11 September 2003 Paper

Real-time tripwire detection on a robotic testbed

James Keller, Majorie Skubic, Paul Gader, Tsaipei Wang, Robert Luke

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.487905

KEYWORDS: Image segmentation, Detection and tracking algorithms, Robotics, Sensors, Hough transforms, Cameras, Image processing, Microcontrollers, Algorithm development, Servomechanisms

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Showing 5 of 8 publications

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