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Towards a Drone Cinematographer: Guiding Quadrotor Cameras using Visual Composition Principles

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arxiv 1610.01691 v1 pith:K5XRLSAH submitted 2016-10-05 cs.GR cs.RO

classification cs.GRcs.RO
keywords systemsubjectsshotscapturefootagequadrotorautomaticallyautonomously
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We present a system to capture video footage of human subjects in the real world. Our system leverages a quadrotor camera to automatically capture well-composed video of two subjects. Subjects are tracked in a large-scale outdoor environment using RTK GPS and IMU sensors. Then, given the tracked state of our subjects, our system automatically computes static shots based on well-established visual composition principles and canonical shots from cinematography literature. To transition between these static shots, we calculate feasible, safe, and visually pleasing transitions using a novel real-time trajectory planning algorithm. We evaluate the performance of our tracking system, and experimentally show that RTK GPS significantly outperforms conventional GPS in capturing a variety of canonical shots. Lastly, we demonstrate our system guiding a consumer quadrotor camera autonomously capturing footage of two subjects in a variety of use cases. This is the first end-to-end system that enables people to leverage the mobility of quadrotors, as well as the knowledge of expert filmmakers, to autonomously capture high-quality footage of people in the real world.

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  1. Learning Camera Movement Control from Real-World Drone Videos

    cs.CV 2024-12 conditional novelty 6.0 of 10

    A real-world dataset of 99k drone camera trajectories and an autoregressive transformer, DVGFormer, learn to generate smooth, collision-avoiding camera movements without hand-crafted filming heuristics.

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