Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection

26 Sep 2016Evgeny BurnaevIvan KoptelovGerman NovikovTimur Khanipov

Recurrent Neural Networks (RNNs) are extensively used for time-series modeling and prediction. We propose an approach for automatic construction of a binary classifier based on Long Short-Term Memory RNNs (LSTM-RNNs) for detection of a vehicle passage through a checkpoint... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.