Abstract: In today’s rapidly evolving security landscape, surveillance drones play an indispensable role in safeguarding both individuals and property. An intelligent autonomous surveillance drone offers promising solutions to challenges such as robbery prevention, vandalism deterrence, and safety assurance during natural disasters. This work introduces a novel video processing toolkit for surveillance drones that leverages a unified video representation, significantly reducing computational overhead.
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