This thesis presents an algorithm that estimates motion in image sequence using wavelet transform. The motion detection is performed under unfavorable conditions of background movement, change of brightness, and noise. The algorithm is tolerant to brightness changes, noise, and small movement in the background. The false alarm rate of motion detection is reduced as compared to standard techniques. Using wavelet transform is numerically efficient and the storage requirements are significantly reduced. Also, a more accurate motion detection is achieved. Tests performed on real images show the effectiveness of this algorithm. Practical results of motion detection are presented. / Graduation date: 2003

published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy

Thesis (Ph. D.)--UCLA, 2009. / Vita. Description based on print version record. Includes bibliographical references (leaves 300-309).

Thesis (Ph. D.)--Virginia Polytechnic Institute and State University, 1991. / Vita. Abstract. Includes bibliographical references (leaves 174-179). Also available via the Internet

<p>This study is located within the theoretical framework of construct validation theory. Data for this Secondary Data Analysis study was drawn from the &ldquo / Impact of Hope and Exposure to Community Violence on children&rsquo / s perception of Well-being&rdquo / study. The primary study employed stratified interval criterion sampling to select 565 grade 9 learners, aged 14-18 from six public schools. The dataset for the current study comprised all participants (N=565) of the broader study. As the initial step in validation of the KIDSCREEN-52 within South Africa, the current study examined the factor structure of the KIDSCREEN-52 within this context by means of exploratory factor analysis using principal component analysis with oblimin rotations. It also assessed the internal consistency reliability of each of the scales using Cronbach&rsquo / s alpha. Exploratory factor analysis revealed the same 10 factors as identified by previous European studies with some deviation in the last two factors, which warrants further examination. Internal consistency of the measure was shown to be acceptable, with Cronbach&rsquo / s alpha values ranging from 0.76 to 0.81 for the 10 scales.</p>

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<p>This study is located within the theoretical framework of construct validation theory. Data for this Secondary Data Analysis study was drawn from the &ldquo / Impact of Hope and Exposure to Community Violence on children&rsquo / s perception of Well-being&rdquo / study. The primary study employed stratified interval criterion sampling to select 565 grade 9 learners, aged 14-18 from six public schools. The dataset for the current study comprised all participants (N=565) of the broader study. As the initial step in validation of the KIDSCREEN-52 within South Africa, the current study examined the factor structure of the KIDSCREEN-52 within this context by means of exploratory factor analysis using principal component analysis with oblimin rotations. It also assessed the internal consistency reliability of each of the scales using Cronbach&rsquo / s alpha. Exploratory factor analysis revealed the same 10 factors as identified by previous European studies with some deviation in the last two factors, which warrants further examination. Internal consistency of the measure was shown to be acceptable, with Cronbach&rsquo / s alpha values ranging from 0.76 to 0.81 for the 10 scales.</p>

Briteback Explore is a service provided by the company Briteback. The service provides a survey tool to its users that allows access to results through the downloading of a comma-separated values (CSV) -file. What was built was a visualization model that provides the survey tool’s users with a graphical representation of the data directly through the service. Providing an overview of the survey results that lessens the amount of information overload perceived by the user while giving the data a structure. A survey based off of the System Usability Scale (SUS) evaluation method was then performed to display to what degree users found the new feature usable. Results showed a satisfactory high score on the SUS adjective rating scale.