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Repository containing the source code files for the paper "Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras"

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Deep-learning-based-video-surveillance-system-managed-by-low-cost-hardware-and-panoramic-cameras-

This repository contains the source code of the paper Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras.

The contents of this code are provided without any warranty. They are intended for evaluational purposes only.

In order to work properly, this system uses a convolutional neural network and some test data that couldn't be uploaded to this repository because of github upload size limitations. If anyone wants to test this code, please write an e-mail to jpicazo@uma.es. I'll be pleasant to provide the cited CNN implementation and the datasets.

Any suggestions and bug reports will be welcome.

Citation

Please, cite this work as: Benito-Picazo, J., Domínguez, E., Palomo, E.J., López-Rubio, E.: Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras. Integrated Computer-Aided Engineering 27(4), 373–387 (2020) https://doi.org/10.3233/ICA-200632. Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras

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Repository containing the source code files for the paper "Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras"

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