Search for dissertations about: "video classification"

Showing result 1 - 5 of 42 swedish dissertations containing the words video classification.

  1. 1. Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; assisted living; Riemannian manifold; fall detection; smart homes; activities of daily living ADL ; video tracking; activity classification;

    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

  2. 2. Digital Distance Education – A Longitudinal Exploration of Video Technology

    Author : Lena Dafgård; Göteborgs universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; distance education; digitalisation; video; higher education;

    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

  3. 3. Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior

    Author : Sofia Broomé; Hedvig Kjellström; Efstratios Gavves; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Equine pain; computer vision for animals; deep learning; deep video models; spatiotemporal features; video understanding; action recognition; frame dependency; video data; end-to-end learning; temporal modeling; Datalogi; Computer Science;

    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

  4. 4. Visual Object Tracking and Classification Using Multiple Sensor Measurements

    Author : Yixiao Yun; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; sensor fusion; Riemannian manifold; visual pattern classification; multiple view geometry; Visual object tracking; boosting; multiple sensor measurement;

    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

  5. 5. Design and Implementation of Embedded Video Surveillance Hardware

    Author : Fredrik Kristensen; Institutionen för elektro- och informationsteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Elektronik och elektroteknik; Electronics and Electrical technology; image features; tracking; labeling; morphology; real-time operations; Hardware design; Image processing; Imaging; image processing; Bildbehandling; Signal processing; Signalbehandling;

    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