Search for dissertations about: "automated surveillance"
Showing result 1 - 5 of 26 swedish dissertations containing the words automated surveillance.
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1. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications
Abstract : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. READ MORE
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2. Anomaly detection in trajectory data for surveillance applications
Abstract : Abnormal behaviour may indicate important objects and events in a wide variety of domains. One such domain is intelligence and surveillance, where there is a clear trend towards more and more advanced sensor systems producing huge amounts of trajectory data from moving objects, such as people, vehicles, vessels and aircraft. READ MORE
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3. Counting deaths, accounting for lives : Novel applications of standardised verbal autopsy methods for augmented health systems
Abstract : Half of the world’s deaths and their causes are never recorded by virtue of the under-resourced civil registration and vital statistics (CRVS) systems which limits capacity of health systems to respond to population needs. Verbal autopsy (VA) has emerged as a pragmatic approach for determining causes of death using standard interviews including signs, symptoms and circumstances of death, conducted with the bereaved family. READ MORE
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4. Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
Abstract : Traffic safety is a complex and important research area with the potential to save many lives in the future. Two key problems are considered, namely the gathering of reliable and detailed road user statistics which can be used to estimate the safety of a traffic environment and taking advantage of surveillance infrastructure to guide and assist vehicles in real time, primarily autonomous ones. READ MORE
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5. Drug interaction surveillance using individual case safety reports
Abstract : Background: Drug interactions resulting in adverse drug reactions (ADRs) represent a major health problem both for individuals and society in general. Post-marketing pharmacovigilance reporting databases with compiled individual case safety reports (ICSRs) have been shown to be particularly useful in the detection of novel drug - ADR combinations, though these reports have not been fully used to detect adverse drug interactions. READ MORE