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In this paper, we propose a hierarchical computational system architecture to support the target domain of realtime mobile computing in the context of unmanned aerial vehicles (UAVs). The overall architectural vision includes support for system resilience in the presence of uncertainties in the operational environment of surveillance UAVs. We report measurement-based results that are obtained from...
A predominant fraction of UAV videos are never watched or analyzed and there is growing interest in having a summary view of the UAV videos for obtaining a better overall perspective of the visual content. Real time summarization of the UAV video events is also important from tactical perspective. Our research focuses on developing resilient algorithms for summarizing videos that can be efficiently...
This paper proposes a new ego-motion estimation and background/foreground classification method to effectively segment moving objects from videos captured by a moving camera on a moving platform. Existing methods for moving-camera detecting impose serious constraints. In our approach, ellipsoid scene shape is applied in the motion model and a complicated ego-motion estimation formula is derived. Genetic...
This paper proposes a Markov Chain Monte Carlo based feature-guided particle filtering algorithm to track moving objects observed from a camera on a moving platform. Sudden camera or object motion is the typical problem that causes tracking performance sharply deteriorate. It is inadequate to use classical recursive Bayesian estimation to track moving objects observed by a rapid-moving and unstable...
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