Sökning: "Masoumeh Poormehdi Ghaemmaghami"

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  1. 1. Tracking of Humans in Video Stream Using LSTM Recurrent Neural Network

    Master-uppsats, KTH/Teoretisk datalogi, TCS

    Författare :Masoumeh Poormehdi Ghaemmaghami; [2017]
    Nyckelord :;

    Sammanfattning : In this master thesis, the problem of tracking humans in video streams by using Deep Learning is examined. We use spatially supervised recurrent convolutional neural networks for visual human tracking. In this method, the recurrent convolutional network uses both the history of locations and the visual features from the deep neural networks. LÄS MER