• Automated vector-vector and vector-imagery geospatial conflation 

    Song, Wenbo (University of Missouri--Columbia, 2011)
    With the rapid advance of geospatial technologies, the availability of geospatial data from multiple sources has increased dramatically. Integration of multi-source geospatial data can provide insights and capabilities ...
  • Automatic detection of explosive devices in infrared imagery using texture with adaptive background mixture models 

    Spain, Christopher (University of Missouri--Columbia, 2011)
    Infrared cameras can be used to image unpaved roads containing buried explosive hazards where detection relies upon differences between settled and disturbed soil in addition to thermal emissivity. Used is a variation of ...
  • Automatic explosive hazard detection in FL-LWIR and FL-GPR data 

    Stone, Kevin E. (University of Missouri--Columbia, 2012)
    Detection of land mines and other buried explosive hazards, has been, and continues to be, a serious issue for military and civilian organizations. A vast amount of work has gone into developing detection and remediation ...
  • Estimation and tracking of elder activity levels for health event prediction 

    Harvey, Nicholas M. (University of Missouri--Columbia, 2009)
    Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary information, such events can often be predicted, and thus, be avoided or reduced ...
  • An evolutionary framework for matching geospatial object configurations 

    Buck, Andrew R. (University of Missouri--Columbia, 2012)
    This thesis presents a framework for modeling and comparing the spatial configuration of sets containing two-dimensional geospatial objects. This situation can arise in the conflation of a hand or machine drafted map to a ...
  • Unstructured road detection in color imagery for the purpose of the automatic detection of explosive devices 

    Lewis, David Barclay (University of Missouri--Columbia, 2012)
    This thesis proposes a method for segmenting an unstructured dirt road in color space images using color and texture analysis. A support vector machine (SVM), or a Random Forest classifier is trained on samples of on and ...
  • Visual recognition using hybrid camera 

    Tang, Shuai (University of Missouri--Columbia, 2011)
    Visual recognition is an exciting but difficult task. Recent dramatic advance in computer vision technology has made some promising progress. For example, the launch of hybrid camera provides both RGB and depth information ...
  • Walk detection using pulse-Doppler radar 

    Phillips, Calvin E., II (University of Missouri--Columbia, 2012)
    Seniors increasingly live more independent lifestyles. This can come with certain safety hazards including deteriorating health, and major injuries from falling. A factor that has been researched and observed to have a ...