Sirvi Autor "Naghma Afreen" järgi

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Optimal agent positioning for dynamic event monitoring and analysis.
(Tartu Ülikool, 2024) Naghma Afreen; Paul, Aditya Savio; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Tehnoloogiainstituut
Events like natural hazards and celestial occurrences are dynamic in nature, they are unpredictable and change instantaneously. In order to study events better, it is essential to develop methods for better understanding. However, observing such events is challenging due to their changing nature compared to observation of events that do not change with time. Moreover, traditional camera systems developed for observing static events tend to generate results with less accuracy and information loss. Dynamic event observation requires dynamic setup of camera systems to improve the study of such phenomena. We propose a method for optimizing camera configurations for observing dynamic events. The observation space is sampled using a volumetric sampler. The cameras are iterated over these samples and the event is captured; an optimal solution then evaluated using a scoring criteria. The scoring function assists in analyzing the optimal configuration of camera setup for observing the desired event. The research aims to develop and improve observational techniques for dynamic events.