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Title Multimodal layer surveillance map based on anomaly detection using multi-agents for smart city security
ID_Doc 36956
Authors Shin, H; Na, KI; Chang, JH; Uhm, T
Title Multimodal layer surveillance map based on anomaly detection using multi-agents for smart city security
Year 2022
Published Etri Journal, 44.0, 2
DOI 10.4218/etrij.2021-0395
Abstract Smart cities are expected to provide residents with convenience via various agents such as CCTV, delivery robots, security robots, and unmanned shuttles. Environmental data collected by various agents can be used for various purposes, including advertising and security monitoring. This study suggests a surveillance map data framework for efficient and integrated multimodal data representation from multi-agents. The suggested surveillance map is a multi-layered global information grid, which is integrated from the multimodal data of each agent. To confirm this, we collected surveillance map data for 4 months, and the behavior patterns of humans and vehicles, distribution changes of elevation, and temperature were analyzed. Moreover, we represent an anomaly detection algorithm based on a surveillance map for security service. A two-stage anomaly detection algorithm for unusual situations was developed. With this, abnormal situations such as unusual crowds and pedestrians, vehicle movement, unusual objects, and temperature change were detected. Because the surveillance map enables efficient and integrated processing of large multimodal data from a multi-agent, the suggested data framework can be used for various applications in the smart city.
Author Keywords multimodal analysis; security robot; smart-city security; surveillance system
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000787184200003
WoS Category Engineering, Electrical & Electronic; Telecommunications
Research Area Engineering; Telecommunications
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