Abstract
In this paper, we will propose a new embedded system prototype called PubFace, which uses the CNN model trained from scratch on facial celebrity images [1], to identify a “Person of Interest” in public space. This is done by tuning this model on new dataset comprising 5000 real images of 1000 different identity collected from social networks as Facebook and Instagram. After I got permission of collected images persons to use their facial images in this scientific research project. Then, we have investigated some ways for compressing the number of parameters of the resulting model to reduce the memory needed for both storing and performing a forward pass while simultaneously preserving acceptable good accuracy.
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Ouanan, H., Ouanan, M., Aksasse, B. (2019). Deep Learning Technology for Identifying a Person of Interest in Real World. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-11928-7_19
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DOI: https://doi.org/10.1007/978-3-030-11928-7_19
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