A System for the Generation of Synthetic Wide Area Aerial Surveillance Imagery

Griffith, elias ORCID: 0000-0001-9360-381X, Mishra, chinmaya, Ralph, JF ORCID: 0000-0002-4946-9948 and Maskell, simon ORCID: 0000-0003-1917-2913
(2018) A System for the Generation of Synthetic Wide Area Aerial Surveillance Imagery. Simulation Modelling Practice and Theory, 84. pp. 286-308.

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The development, benchmarking and validation of aerial Persistent Surveillance (PS) algorithms requires access to specialist Wide Area Aerial Surveillance (WAAS) datasets. Such datasets are difficult to obtain and are often extremely large both in spatial resolution and temporal duration. This paper outlines an approach to the simulation of complex urban environments and demonstrates the viability of using this approach for the generation of simulated sensor data, corresponding to the use of wide area imaging systems for surveillance and reconnaissance applications. This provides a cost-effective method to generate datasets for vehicle tracking algorithms and anomaly detection methods. The system fuses the Simulation of Urban Mobility (SUMO) traffic simulator with a MATLAB controller and an image generator to create scenes containing uninterrupted door-to-door journeys across large areas of the urban environment. This ‘pattern-of-life’ approach provides three-dimensional visual information with natural movement and traffic flows. This can then be used to provide simulated sensor measurements (e.g. visual band and infrared video imagery) and automatic access to ground-truth data for the evaluation of multi-target tracking systems.

Item Type: Article
Additional Information: v1 (Accepted for publication in Simulation Modelling Practice and Theory)
Uncontrolled Keywords: Persistent surveillance, Image generation, City simulation, WAAS, WAMI
Depositing User: Symplectic Admin
Date Deposited: 13 Mar 2018 08:10
Last Modified: 19 Jan 2023 06:38
DOI: 10.1016/j.simpat.2018.03.003
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3018955