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Showing result 1 - 5 of 103 swedish dissertations matching the above criteria.
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1. Conjugate priors for Bayesian object tracking
Abstract : Object tracking refers to the problem of using noisy sensor measurements to determine the location and characteristics of objects of interest in clutter. Nowadays, object tracking has found applications in numerous research venues as well as application areas, including air traffic control, maritime navigation, remote sensing, intelligent video surveillance, and more recently environmental perception, which is a key enabling technology in autonomous vehicles. READ MORE
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2. 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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3. Deep Learning For Model-Based Multi-Object Tracking
Abstract : Multi-object tracking (MOT) is the task of estimating the state of multiple objects based on noisy sensor measurements. MOT is essential in various applications, such as pedestrian monitoring, vehicle tracking, animal behavior analysis, and others. READ MORE
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4. Expressing emotions through vibration for perception and control
Abstract : This thesis addresses a challenging problem: “how to let the visually impaired ‘see’ others emotions”. We, human beings, are heavily dependent on facial expressions to express ourselves. A smile shows that the person you are talking to is pleased, amused, relieved etc. READ MORE
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5. Poisson Multi-Bernoulli Mixtures for Multiple Object Tracking
Abstract : Multi-object tracking (MOT) refers to the process of estimating object trajectories of interest based on sequences of noisy sensor measurements obtained from multiple sources. Nowadays, MOT has found applications in numerous areas, including, e.g. READ MORE