Author:
Hans G. Ziegler
Affiliation:
University of London and Adesso Schweiz AG, United Kingdom
Keyword(s):
Crowd Analysis, Critical Infrastructures, Critical Infrastructure Security, Pedestrian Flow Analysis, Internet of Things, Safety Applications, Privacy-preserving Surveillance.
Related
Ontology
Subjects/Areas/Topics:
Data Communication Networking
;
Energy and Economy
;
Enterprise Information Systems
;
Internet of Things
;
Sensor Networks
;
Smart Cities
;
Smart Sensor-Based Networks and Applications
;
Software Agents and Internet Computing
;
Software and Architectures
;
Telecommunications
Abstract:
This paper describes a solution for monitoring and detection of crowds and analysis of density structures
and movement characteristics, to enhance safety of citizens and security of critical infrastructures. The
system leverages the Internet of Things concept and heterogenous, energy efficient, networked sensors, with
support for wireless communication. Privacy protection, instant deployability and auto configuration are
hereby underlying core objectives. The solution, which will be described, comprises two novel distributed
crowd analysis algorithms, allowing on the one hand the localisation of critical areas within large crowds
and on the other hand the recognition of counter streams, which can cause severe impacts on the crowd flow
and movement velocity and which can transform crowding scenarios into threatening situations.