Tracking of Humans in Video Stream Using LSTM Recurrent Neural Network
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 vis...
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| Format: | Others |
| Language: | English |
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KTH, Teoretisk datalogi, TCS
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217495 |