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2012
Conference Paper
Title
CamInSens - demonstration of a distributed smart camera system for in-situ threat detection
Abstract
The CamInSens system is a next-generation selforganizing video surveillance system that combines research being done in the fields of person-tracking, trajectory analysis, visual analytics, and self-organizing system management algorithms. Its purpose is the online threat detection by analysing anomalies in persons trajectories. Therefore, robust multicamera multi-person tracking is combined with a flexible analysis module, which uses online learning classification algorithms as well as user-generated filters to process the persons trajectories in the surveillance space.
Author(s)
Keyword(s)
distributed resource management
multi-camera multi-person tracking
self-learning classification of spatio-temporal trajectory data
visualization and interaction with self-organizing smart camera systems
classification algorithm
distributed smart cameras
multi-person tracking
self-organizing system
threat detection
trajectory analysis
video surveillance systems
visual analytics