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Camplani, Massimo and Salgado Álvarez de Sotomayor, Luis (2011). Adaptive Multi-Camera System for Real Time Object Detection. In: "2011 IEEE International Conference on Consumer Electronics (ICCE)", 09/01/2011 - 12/01/2011, Las Vegas, NV, EEUU. ISBN 978-1-4244-8711-0. pp. 797-798. https://doi.org/10.1109/ICCE.2011.5722869.
Title: | Adaptive Multi-Camera System for Real Time Object Detection |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 2011 IEEE International Conference on Consumer Electronics (ICCE) |
Event Dates: | 09/01/2011 - 12/01/2011 |
Event Location: | Las Vegas, NV, EEUU |
Title of Book: | Proceedings of 2011 IEEE International Conference on Consumer Electronics (ICCE) |
Date: | 2011 |
ISBN: | 978-1-4244-8711-0 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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In this paper we present an adaptive multi-camera system for real time object detection able to efficiently adjust the computational requirements of video processing blocks to the available processing power and the activity of the scene. The system is based on a two level adaptation strategy that works at local and at global level. Object detection is based on a Gaussian mixtures model background subtraction algorithm. Results show that the system can efficiently adapt the algorithm parameters without a significant loss in the detection accuracy.
Item ID: | 13460 |
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DC Identifier: | https://oa.upm.es/13460/ |
OAI Identifier: | oai:oa.upm.es:13460 |
DOI: | 10.1109/ICCE.2011.5722869 |
Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5722869 |
Deposited by: | Memoria Investigacion |
Deposited on: | 27 Nov 2012 08:45 |
Last Modified: | 21 Apr 2016 12:46 |