Search for dissertations about: "Motion Tracking"
Showing result 6 - 10 of 161 swedish dissertations containing the words Motion Tracking.
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6. Local spatio-temporal image features for motion interpretation
Abstract : Visual motion carries information about the dynamics of ascene. Automatic interpretation of this information isimportant when designing computer systems forvisualnavigation, surveillance, human-computer interaction, browsingof video databases and other growing applications. READ MORE
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7. Bring Your Body into Action : Body Gesture Detection, Tracking, and Analysis for Natural Interaction
Abstract : Due to the large influx of computers in our daily lives, human-computer interaction has become crucially important. For a long time, focusing on what users need has been critical for designing interaction methods. READ MORE
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8. The perception of actions and interactions : And the importance of context
Abstract : The perception of actions and interactions is a dynamic process linked with perceptual processes, the internal and external states of the individual, prior experiences, and the immediate environment. Given these differential contexts, it is very likely there are differences in how infants perceive, interpret, and respond to actions. READ MORE
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9. Models and Algorithms - with applications to vehicle tracking and frequency estimation
Abstract : This thesis considers two different research problems; one concerned with the issue of tracking vehicles and one related to estimating frequencies in harmonic signals. The vehicle-tracking problem is addressed from the perspective of an automotive-safety application, which seeks to monitor the course of surrounding road users with the objective to make decisions regarding if, how and when to intervene. READ MORE
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10. Multi-scale feature tracking and motion estimation
Abstract : This thesis studies the problems of feature tracking and motion estimation and presents an application of these concepts to human-computer interaction. The presentation is divided into three parts. The first part addresses feature tracking in a multi-scale context. READ MORE