Search
Now showing items 1-7 of 7
Linguistic summarization of human activity
(University of Missouri--Columbia, 2010)
The thesis advanced herein is that linguistic summarization is essential for the reliable succinct modeling and inference of human activity. It is also asserted that the inherent and unavoidable uncertainty is linguistic ...
A system for change detection and human recognition in voxel space using stereo vision
(University of Missouri--Columbia, 2010)
Image space change detection algorithms do not adequately address the complexities in real-world dynamic environments. With few exceptions, these algorithms rely on pixel-level information to detect proper foreground change. ...
Clustering in relational data and ontologies
(University of Missouri--Columbia, 2010)
This dissertation studies the problem of clustering objects represented by relational data. This is a pertinent problem as many real-world data sets can only be represented by relational data for which object-based clustering ...
Automatic detection of explosive devices in infrared imagery using texture with adaptive background mixture models
(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
(University of Missouri--Columbia, 2012)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Detection of land mines and other buried explosive hazards, has been, and continues to be, a serious issue for military and civilian organizations. A ...
Unstructured road detection in color imagery for the purpose of the automatic detection of explosive devices
(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
(University of Missouri--Columbia, 2011)
Visual recognition is an exciting but difficult task. Recent dramatic advance in compute vision technology has made some promising progress. For example, the launch of hybrid camera provides both RGB and depth information ...