Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks

29 Aug 2016Alberto MontesAmaia SalvadorSantiago PascualXavier Giro-i-Nieto

This thesis explore different approaches using Convolutional and Recurrent Neural Networks to classify and temporally localize activities on videos, furthermore an implementation to achieve it has been proposed. As the first step, features have been extracted from video frames using an state of the art 3D Convolutional Neural Network... (read more)

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