Automated Scene Surveillance using Frame Propagation from Massive Sequencization Fusion of Frame Imaging
Remote sensing scene surveillance has already become significant contributions to many areas such; as environmental engineering and civil applications. However, these fields are still deprived from completely being automated. Since, decisions based on surveillance and sensing data in these fields strongly depend on the accuracy of these data but yet such data is produced by a measuring device and additionally being deprived from effective models and thus being generally prone to imperfection such uncertainty, imprecision, and ignorance leading to unnecessary elimination of useful data . Therefore, in the present study we've proposed an algorithm for automated scene surveillance with accurate image processing and massive sequencized fusing of frame images.
Keywords: Prediction, scene surveillance, imaging
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