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EZ-VSN: An Open-Source and Flexible Framework for Visual Sensor Networks.

, , , , и . IEEE Internet Things J., 3 (5): 767-778 (2016)

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Giacomo Baroffio

Emilie Dahnk-Baroffio

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Luca Tuninetti

 

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Performance evaluation of object recognition tasks in visual sensor networks., , , и . ITC, стр. 1-9. IEEE, (2014)Coding binary local features extracted from video sequences., , , , и . ICIP, стр. 2794-2798. IEEE, (2014)Multi-view coding and routing of local features in Visual Sensor Networks., , , и . INFOCOM, стр. 1-9. IEEE, (2016)Reduced memory region based deep Convolutional Neural Network detection., , , , , и . ICCE-Berlin, стр. 15-19. IEEE, (2016)EZ-VSN: An Open-Source and Flexible Framework for Visual Sensor Networks., , , , и . IEEE Internet Things J., 3 (5): 767-778 (2016)Deep Convolutional Neural Networks for pedestrian detection., , , , , и . Signal Process. Image Commun., (2016)Compress-then-analyze vs. analyze-then-compress: Two paradigms for image analysis in visual sensor networks., , , и . MMSP, стр. 278-282. IEEE, (2013)A visual sensor network for parking lot occupancy detection in Smart Cities., , , , и . WF-IoT, стр. 745-750. IEEE Computer Society, (2015)Deep convolutional neural networks for pedestrian detection, , , , , и . (2015)cite arxiv:1510.03608Comment: submitted to Elsevier Signal Processing: Image Communication special Issue on Deep Learning.Open-source and flexible framework for visual sensor networks., , , , и . ICDSC, стр. 197-198. ACM, (2015)