Blar i forfatter "Phan, Hung Ngoc"

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    • Investigating the latency cost of statistical learning of a Gaussian mixture simulating on a convolutional density network with adaptive batch size technique for background modeling 

      Phan, Hung Ngoc (Master thesis; Mastergradsoppgave, 2021-05-31)
      Background modeling is a promising field of study in video analysis, with a wide range of applications in video surveillance. Deep neural networks have proliferated in recent years as a result of effective learning-based approaches to motion analysis. However, these strategies only provide a partial description of the observed scenes' insufficient properties since they use a single-valued mapping ...

    • Real-Time Change Detection with Convolutional Density Approximation 

      Ha, Synh Viet-Uyen; Nguyen, Tien Cuong; Phan, Hung Ngoc; Ha, Hoai Phuong (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-02)
      Background Subtraction (BgS) is a widely researched technique to develop online Change Detection algorithms for static video cameras. Many BgS methods have employed the unsupervised, adaptive approach of Gaussian Mixture Model (GMM) to produce decent backgrounds, but they lack proper consideration of scene semantics to produce better foregrounds. On the other hand, with considerable computational ...