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Proceedings Paper

Real-time movement detection and analysis for video surveillance applications
Author(s): Nicolas Hueber; Christophe Hennequin; Pierre Raymond; Jean-Pierre Moeglin
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Paper Abstract

Pedestrian movement along critical infrastructures like pipes, railways or highways, is of major interest in surveillance applications as well as its behavior in urban environment. The goal is to anticipate illicit or dangerous human activities. For this purpose, we propose an all-in-one small autonomous system which delivers high level statistics and reports alerts in specific cases. This situational awareness project leads us to manage efficiently the scene by performing movement analysis. A dynamic background extraction algorithm is developed to reach the degree of robustness against natural and urban environment perturbations and also to match the embedded implementation constraints. When changes are detected in the scene, specific patterns are applied to detect and highlight relevant movements. Depending on the applications, specific descriptors can be extracted and fused in order to reach a high level of interpretation. In this paper, our approach is applied to two operational use cases: pedestrian urban statistics and railway surveillance. In the first case, a grid of prototypes is deployed over a city centre to collect pedestrian movement statistics up to a macroscopic level of analysis. The results demonstrate the relevance of the delivered information; in particular, the flow density map highlights pedestrian preferential paths along the streets. In the second case, one prototype is set next to high speed train tracks to secure the area. The results exhibit a low false alarm rate and assess our approach of a large sensor network for delivering a precise operational picture without overwhelming a supervisor.

Paper Details

Date Published: 10 June 2014
PDF: 7 pages
Proc. SPIE 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V, 90790B (10 June 2014); doi: 10.1117/12.2049833
Show Author Affiliations
Nicolas Hueber, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Christophe Hennequin, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Pierre Raymond, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Jean-Pierre Moeglin, Institut Franco-Allemand de Recherches de Saint-Louis (France)


Published in SPIE Proceedings Vol. 9079:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V
Michael A. Kolodny, Editor(s)

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