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Showing result 1 - 5 of 39 swedish dissertations matching the above criteria.
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1. Stochastic Modeling for Video Object Tracking and Online Learning: manifolds and particle filters
Abstract : Classical visual object tracking techniques provide effective methods when parameters of the underlying process lie in a vector space. However, various parameter spaces commonly occurring in visual tracking violate this assumption. READ MORE
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2. Visual Object Tracking and Classification Using Multiple Sensor Measurements
Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE
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3. Learning visual perception for autonomous systems
Abstract : In the last decade, developments in hardware, sensors and software have made it possible to create increasingly autonomous systems. These systems can be as simple as limited driver assistance software lane-following in cars, or limited collision warning systems for otherwise manually piloted drones. READ MORE
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4. Robust Visual Object Tracking mean shift, particle filters and point features
Abstract : Visual object tracking has been identified as a promising technique for many computer vision applications like surveillance, flight navigation, video compression and driver assistance. The main idea is to find the state ofthe object and how it changes over time, in recursive video frames. READ MORE
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5. Learning Object Properties From Manipulation for Manipulation
Abstract : The world contains objects with various properties - rigid, granular, liquid, elastic or plastic. As humans, while interacting with the objects, we plan our manipulation by considering their properties. For instance, while holding a rigid object such as a brick, we adapt our grasp based on its centre of mass not to drop it. READ MORE