Aerial Video Selfies: Difference between revisions

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Client: Cedric Barreteau, [[IMC]] <cedric.barreteau@imc.com>
Client: Cedric Barreteau, [[IMC]] <cedric.barreteau@imc.com>


A recent viral video of a guy singing the Fleetwood Mac song Dreams, while skateboarding down the road, was swiftly followed by a similar video from Mick Fleetwood himself. But isn't it a bit dangerous for 73 year-olds to be filming themselves like that? Your task is to design a drone control system that uses information like bluetooth signals and computer vision to automatically follow a moving person, taking good quality aerial close-up video of someone on a skateboard, bicycle, or just walking. The result would be great for sports coverage, and could even be the future of mobile Zoom.
A recent viral video of a guy singing the Fleetwood Mac song Dreams, while skateboarding down the road, was swiftly followed by a similar video from Mick Fleetwood himself. But isn't it a bit dangerous for 73 year-olds to be filming themselves like that? Your task is to design a drone control system that follows a planned camera path while maintaining focus on a moving person, taking good quality aerial close-up video as they skateboard, bicycle, or just walk. It would be particularly impressive to use information like bluetooth signals and computer vision to automatically recognise and follow even an unplanned path. The result would be great for sports coverage, and could even be the future of mobile Zoom.

Latest revision as of 14:56, 10 November 2020

Client: Cedric Barreteau, IMC <cedric.barreteau@imc.com>

A recent viral video of a guy singing the Fleetwood Mac song Dreams, while skateboarding down the road, was swiftly followed by a similar video from Mick Fleetwood himself. But isn't it a bit dangerous for 73 year-olds to be filming themselves like that? Your task is to design a drone control system that follows a planned camera path while maintaining focus on a moving person, taking good quality aerial close-up video as they skateboard, bicycle, or just walk. It would be particularly impressive to use information like bluetooth signals and computer vision to automatically recognise and follow even an unplanned path. The result would be great for sports coverage, and could even be the future of mobile Zoom.