Search for dissertations about: "video classification"
Showing result 1 - 5 of 42 swedish dissertations containing the words video classification.
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1. Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home
Abstract : This thesis mainly focuses on visual-information based daily activity classification, anomaly detection, and video tracking through using visual sensors. The main reasons for adopting visual-information based methods are due to: (i) vision plays a major role in recognition/classification of activities which is a fundamental issue in a human-centric system; (ii) visual sensor-based analysis may possibly offer high performance with minimum disturbance to individuals' daily lives. READ MORE
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2. Digital Distance Education – A Longitudinal Exploration of Video Technology
Abstract : The context of this thesis is digital distance education. Distance education has developed from correspondence courses, based on letters sent by mail between student and teacher, to digital distance education with interactive video classes from anywhere, as long as a computer/tablet/smartphone and an Internet connection are available. READ MORE
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3. Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior
Abstract : Recognition of pain in animals is important because pain compromises animal welfare and can be a manifestation of disease. This is a difficult task for veterinarians and caretakers, partly because horses, being prey animals, display subtle pain behavior, and because they cannot verbalize their pain. READ MORE
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4. 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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5. Design and Implementation of Embedded Video Surveillance Hardware
Abstract : The demands on video surveillance systems are rapidly increasing regarding parameters such as frame rate and resolution. Furthermore, with an ever increasing number of video streams, an automated process for extracting relevant information is required. READ MORE