Graduate School and Research Center in Digital Sciences

IoT based people detection for emergency scenarios

Mallat, Khawla; Datta, Soumya Kanti; Dugelay, Jean-Luc

ICCE-Berlin 2019, 9th IEEE International Conference of Consumer Electronics, 8-11 September 2019, Berlin, Germany

First generation Internet of Things (IoT) based systems have focused on Cloud based remote asset monitoring, device management etc. The next-generation IoT systems are utilized to accomplish massive IoT and mission critical business cases. This work presents a real time people detection framework for emergency scenarios and its integration into EURECOM IoT Platform. Due to real time requirements, the Edge Server of the Platform has been extended to perform people detection and streaming the processed video to an IoT Client.

Document Doi Bibtex

Title:IoT based people detection for emergency scenarios
Keywords:Edge Server; IoT; People Detection
Type:Conference
Language:English
City:Berlin
Country:GERMANY
Date:
Department:Digital Security
Eurecom ref:5992
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Bibtex: @inproceedings{EURECOM+5992, doi = {http://dx.doi.org/10.1109/ICCE-Berlin47944.2019.8966230}, year = {2019}, title = {{I}o{T} based people detection for emergency scenarios}, author = {{M}allat, {K}hawla and {D}atta, {S}oumya {K}anti and {D}ugelay, {J}ean-{L}uc}, booktitle = {{ICCE}-{B}erlin 2019, 9th {IEEE} {I}nternational {C}onference of {C}onsumer {E}lectronics, 8-11 {S}eptember 2019, {B}erlin, {G}ermany}, address = {{B}erlin, {GERMANY}}, month = {09}, url = {http://www.eurecom.fr/publication/5992} }
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