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Automatic explosive hazard detection in FL-LWIR and FL-GPR data
(University of Missouri--Columbia, 2012)
the areas of machine learning, computer vision, and computational intelligence have been utilized in creating these algorithms, such as support vector machine (SVM) classification and cell-structured image feature extraction using image features...
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 for visual recognition...
A temporal analysis system for early detection of health changes
(University of Missouri--Columbia, 2014)
To make it possible for elders to live independently at home and yet get help from health care providers when small changes in health conditions take place, smart home technologies are developed to enhance safety and monitor ...
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 ...
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. ...
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 ...
Combining activities of daily living and scene understanding for continuous assessment of behavior patterns using depth data
(University of Missouri--Columbia, 2014)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Research has shown the importance of monitoring behavior patterns of older adults over extended time periods to detect and deviations. These deviations ...
Recognition of sleep stages from sensor data
(University of Missouri--Columbia, 2015)
Sleep is an essential activity for humans. It affects our physical and mental health. So monitoring sleep continuously can help detect any changes in sleep patterns that may be caused by sleep disorders or other diseases. ...
Sleep stage classification using hydraulic bed sensor
(University of Missouri--Columbia, 2018)
Sleep monitoring can help physicians diagnose and treat sleep disorders. Polysomnography(PSG) system is the most accurate and comprehensive method widely used in sleep labs to monitor sleep. However, it is expensive and ...
Linguistic summarization of human activity
(University of Missouri--Columbia, 2010)
of the proposed work include the generation of human interpretable confidence values, improved rejection of unknown activity, information reduction, complexity management, and the recognition of adverse events. Specifically, a computer vision-based hierarchical...
Advances in transfer learning methods based on computational intelligence
(University of Missouri--Columbia, 2020)
Traditional machine learning and data mining have made tremendous progress in many knowledge-based areas, such as clustering, classification, and regression. However, the primary assumption in all of these areas is that ...
Early detection of health changes in the elderly using in-home multi-sensor data streams
(University of Missouri--Columbia, 2022)
The rapid aging of the population worldwide requires increased attention from health care providers and the entire society. For the elderly to live independently, many health issues related to old age, such as frailty and ...
Detecting explosive hazards in 3D radar imaging through slice based feature extraction and sequential learning
(University of Missouri--Columbia, 2018)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This thesis provides the history and framework of detecting explosive hazards from three-dimensional radar by extracting features through a slice-based ...
Clustering in relational data and ontologies
(University of Missouri--Columbia, 2010)
are not designed. Relational data are encountered in many fields including biology, management, industrial engineering, and social sciences. Unlike numerical object data, which are represented by a set of feature values (e.g. height, weight, shoe size) of an object...
Unpaved road detection using optimized log Gabor filter banks
(University of Missouri--Columbia, 2021)
The revised unpaved road detection system (RURD) is a novel method for detecting unpaved roads in an arid environment from color imagery collected by a forward-looking camera mounted on a moving platform. The objective is ...