EG 2015 - Posters

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https://diglib.eg.org/handle/10.2312/12146

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Browsing EG 2015 - Posters by Subject "Applications"

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    Deep Learning on a Raspberry Pi for Real Time Face Recognition
    (The Eurographics Association, 2015) Dürr, Oliver; Pauchard, Yves; Browarnik, Diego; Axthelm, Rebekka; Loeser, Martin; B. Solenthaler and E. Puppo
    In this paper we describe a fast and accurate pipeline for real-time face recognition that is based on a convolutional neural network (CNN) and requires only moderate computational resources. After training the CNN on a desktop PC we employed a Raspberry Pi, model B, for the classification procedure. Here, we reached a performance of approximately 2 frames per second and more than 97% recognition accuracy. The proposed approach outperforms all of OpenCV's algorithms with respect to both accuracy and speed and shows the applicability of recent deep learning techniques to hardware with limited computational performance
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    Privacy Protecting, Real-time Face Re-recognition
    (The Eurographics Association, 2015) Niederberger, Thomas; Hegner, Robert; Hartmann, Andreas; Schuster, Guido M.; B. Solenthaler and E. Puppo
    We present a novel system for recognizing human individuals walking past a depth camera that is compatible with privacy protecting laws. The system is developed to support the statistical analysis of movement patterns in indoor spaces. The system is able to re-recognize previously seen individuals but is also capable of recognizing that an individual has not been seen before. The system is designed in a privacy protecting way and does not rely on previously collected training data but rather collects data during run-time. The proposed system processes each image of an individual separately, but we also present a new approach that is based on combining several decisions into a single meta-decision in order to enhance classification performance.