Real-time gesture recognition of unmanned aerial vehicle video

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This proposal concentrates on the research, design and optimization of a real-time video gesture recognition system that can be applied to the video feed coming from a camera mounted on a drone (or Unmanned Aerial Vehicle). The system requires novel algorithm to recognize motions in sequential video frames with a complex, moving background. It will predict and analyze the global motion of the camera and the local motion of the objects simultaneously based on probabilistic graphic model and statistical methods. For example, one main goal of the project is to be able to identify in near real-time when people in a crowd wave up at the drone. Detection of such an event would then trigger a photograph and integration into social media.