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    Detection of anomalous crowd behaviour using hyperspherical clustering
    Rao, AS ; Gubbi, J ; Rajasegarar, S ; Marusic, S ; Palaniswami, M (IEEE, 2015-01-12)
    Analysis of crowd behaviour in public places is an indispensable tool for video surveillance. Automated detection of anomalous crowd behaviour is a critical problem with the increase in human population. Anomalous events may include a person loitering about a place for unusual amounts of time; people running and causing panic; the size of a group of people growing over time etc. In this work, to detect anomalous events and objects, two types of feature coding has been proposed: spatial features and spatio-temporal features. Spatial features comprises of contrast, correlation, energy and homogeneity, which are derived from Gray Level Co-occurrence Matrix (GLCM). Spatio-temporal feature includes the time spent by an object at different locations in the scene. Hyperspherical clustering has been employed to detect the anomalies. Spatial features revealed the anomalous frames by using contrast and homogeneity measures. Loitering behaviour of the people were detected as anomalous objects using the spatio-temporal coding.
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    Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features
    Yang, M ; Rajasegarar, S ; Rao, AS ; Leckie, C ; Palaniswami, M ; Shi, Z ; Vadera, S ; Li, G (Springer, 2016)
    important problem in real-life applications. Detection of anomalous behaviors such as people standing statically and loitering around a place are the focus of this paper. In order to detect anomalous events and objects, ViBe was used for background modeling and object detection at first. Then, a Kalman filter and Hungarian cost algorithm were implemented for tracking and generating trajectories of people. Next, spatio-temporal features were extracted and represented. Finally, hyperspherical clustering was used for anomaly detection in an unsupervised manner. We investigate three different approaches to extracting and representing spatio-temporal features, and we demonstrate the effectiveness of our proposed feature representation on a standard benchmark dataset and a real-life video surveillance environment.
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    Distributed multi static sonar tracking in clutter
    Mušicki, D ; Nešić, D ; Song, TL (IEEE, 2012-10-24)
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    Mid-infrared Magnetic Mirror Based on a Hybrid Metal/Dielectric Metasurface
    Ye, M ; Li, S ; Gao, Y ; Shrestha, VR ; Crozier, KB (IEEE, 2018)
    We propose a hybrid metal/dielectric metasurface that functions as a mid-infrared magnetic mirror. It consists amorphous silicon cuboids on gold. The physical mechanism is explained by image theory. Measured reflection spectra agree with simulations.
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    Modular system approach for modelling socio-technical transitions towards alternative energy infrastructures in urban areas
    Rojas, A ; de Haan, F ; Candy, S ; Aye, L ; Syme, G ; Hatton MacDonald, D ; Fulton, B ; Piantadosi, J (Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), 2017-01-01)
    Reducing greenhouse gas emissions (GHGE) in urban energy systems requires the implementation of alternative infrastructure configurations across different geographical, technical and social scales. Furthermore, alternative configurations may improve systems resilience and democratization of service provision. However, unlike current centralised systems, which are well understood from the technical and social perspectives, there is a lack of knowledge on the socio-technical interplay across multiple intermediate scales of alternative infrastructures, defined as all the possible configurations in between off-grid and centralised infrastructure. There are various concepts in the literature describing decentralised, distributed and integrated systems using different primary energy resources and generating various energy carriers -for electricity, heating, and cooling. However, the information on alternative models is limited to the technical requirements leaving a gap in knowledge on the societal requirements. Alternative infrastructure models potentially reduce GHGE but they may require unique forms of social organisation structures to support their adoption and increase the pace towards decarbonisation. To obtain in-depth understanding of the socio-technical interplay of alternative infrastructures across scales, this paper draws on complexity theory, the concept of modularity and transitions modelling literature. This aid in the definition of the proposed conceptual framework and the Service Provision Modules (SPM). This conceptual framework serves as the basis for spatially specific modelling and simulation. The SPM may use different types of networks and can represent any type of conventional or alternative infrastructure configuration. The conceptual framework then uses the modules to construct the socio-technical layouts for the baseline and possible future configurations in a given area. The paper briefly outlines various concepts in the literature which technically define alternative energy systems, then presents a description of the conceptual framework and the definition of an SPM. Finally, the SPMs are used to represent the Australian electricity system.
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    A citizen science approach to obtain quantitative measurements of urban agriculture inputs and outputs in Melbourne
    Candy, S ; Sheridan, J ; Jackson, S (SOAC, 2017)
    There are many advocates and critics of urban agriculture’s role in a sustainable food system but little quantitative data, potentially due the difficulties in collecting it. Urban food production is an example of a distributed system intrinsically linked to urban farmers and urban lifestyles and therefore cannot be recreated in a lab. Citizen science (CS) is identified as a potential method to measure aspects of urban agriculture but has potential issues associated with maintaining participation in data collection. This paper presents the development of a citizen science methodology combining general CS project design methods with methods for engaging and retaining participants in CS projects, based on motivation, for the design of a citizen science project measuring the sustainability performance of urban food gardens in Melbourne, Australia. It was found that an additional motivation emerged that is not yet documented in existing literature and is particular to citizen science projects. Other conclusions were also drawn related to timeline management, potential cost reductions conflicting with reducing barriers to participation and diversifying recruitment methods to attract participants with more time to be involved.
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    What does a low carbon local diet look like for Melbourne?
    Candy, S ; Sheridan, J (Association for Sustainability in Business Inc., 2017)
    Food systems in cities are under increasing pressure. Food production is occurring further and further from the point of consumption and extreme weather events due to climate change are impacting on food supply networks. It is possible that cities will have to rely on their local regions to meet at least some of their food needs in the future. Although large amounts of food are produced on the outskirts of cities, it is not clear the extent to which the nutritional needs of inhabitants could be met sustainably. This paper aims to investigate if it is possible to feed the city of Melbourne a healthy diet from the local area (i.e. achieve direct food availability) and what that diet might look like. It tests a new methodology using linear programming to find the optimal mix of food types to produce a diet profile that meets the Australian Dietary Guidelines within theproduction capacity of the local ‘region’. Results from three region scenarios are presented – Greater Melbourne, Foodbowl and Rest of Victoria. No solution could be found that satisfied all constraints for any region, however this identified issues surrounding availability of certain food types, particularly fruit, vegetables and legumes. Systematically increasing certain constraints provided insight into how diets could be composed to meet requirements and where it might be necessary to increase production within a region or future proof food supply networks. It also highlighted conflicts between sourcing food locally and reducing carbon emissions.
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    'Third Space' and Everyday Online Political Talk: Deliberation, Polarisation, Avoidance
    WRIGHT, S ; Graham, T ; Jackson, D (International Communication Association, 2017)