A theory of scene understanding and object recognition.
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This dissertation presents a new approach to image interpretation which can produce hierarchical descriptions of visually sensed scenes based on an incrementally learnt hierarchical knowledge base. Multiple segmentation and labelling hypotheses are generated with local constraint satisfaction being achieved through a hierarchical form of relaxation labelling. The traditionally unidirectional segmentation-matching process is recast into a dynamic closed-loop system where the current interpretation state is used to drive the lower level image processing functions. The theory presented in this dissertation is applied to a new object recognition and scene understanding system called Cite which is described in detail.
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Tohira, Hideo; Fatovich, D.; Williams, T.; Bremner, A.; Arendts, G.; Rogers, I.; Celenza, A.; Mountain, D.; Cameron, P.; Sprivulis, P.; Ahern, T.; Finn, J. (2016)BACKGROUND: Outcomes of patients who are discharged at the scene by paramedics are not fully understood. OBJECTIVE: We aimed to describe the risk of re-presentation and/or death in prehospital patients discharged at the ...
Paramedic Checklists do not Accurately Identify Post-ictal or Hypoglycaemic Patients Suitable for Discharge at the SceneTohira, Hideo; Fatovich, D.; Williams, T.; Bremner, A.; Arendts, G.; Rogers, I.; Celenza, A.; Mountain, D.; Cameron, P.; Sprivulis, P.; Ahern, T.; Finn, J. (2016)Objectives: The objective of this study was to assess the accuracy and safety of two pre-defined checklists to identify prehospital post-ictal or hypoglycemic patients who could be discharged at the scene. Methods: A ...
Rao, Arjun (2009)With security and surveillance gaining paramount importance in recent years, it has become important to reliably automate some surveillance tasks for monitoring crowded areas. The need to automate this process also supports ...