LookOut! Interactive Camera Gimbal Controller for Filming Long Takes

12/03/2020
by   Mohamed Sayed, et al.
0

The job of a camera operator is more challenging, and potentially dangerous, when filming long moving camera shots. Broadly, the operator must keep the actors in-frame while safely navigating around obstacles, and while fulfilling an artistic vision. We propose a unified hardware and software system that distributes some of the camera operator's burden, freeing them up to focus on safety and aesthetics during a take. Our real-time system provides a solo operator with end-to-end control, so they can balance on-set responsiveness to action vs planned storyboards and framing, while looking where they're going. By default, we film without a field monitor. Our LookOut system is built around a lightweight commodity camera gimbal mechanism, with heavy modifications to the controller, which would normally just provide active stabilization. Our control algorithm reacts to speech commands, video, and a pre-made script. Specifically, our automatic monitoring of the live video feed saves the operator from distractions. In pre-production, an artist uses our GUI to design a sequence of high-level camera "behaviors." Those can be specific, based on a storyboard, or looser objectives, such as "frame both actors." Then during filming, a machine-readable script, exported from the GUI, ties together with the sensor readings to drive the gimbal. To validate our algorithm, we compared tracking strategies, interfaces, and hardware protocols, and collected impressions from a) film-makers who used all aspects of our system, and b) film-makers who watched footage filmed using LookOut.

READ FULL TEXT

page 1

page 4

page 5

page 10

page 12

page 13

page 14

research
07/28/2021

C^3Net: End-to-End deep learning for efficient real-time visual active camera control

The need for automated real-time visual systems in applications such as ...
research
09/24/2018

Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches

We consider the task of controlling a quadrotor to hover in front of a f...
research
06/29/2021

An End-to-End Autofocus Camera for Iris on the Move

For distant iris recognition, a long focal length lens is generally used...
research
12/11/2020

Imitation-Based Active Camera Control with Deep Convolutional Neural Network

The increasing need for automated visual monitoring and control for appl...
research
10/07/2020

A Novel Face-tracking Mouth Controller and its Application to Interacting with Bioacoustic Models

We describe a simple, computationally light, real-time system for tracki...
research
11/14/2022

AttenFace: A Real Time Attendance System using Face Recognition

The current approach to marking attendance in colleges is tedious and ti...
research
03/01/2017

Making 360^∘ Video Watchable in 2D: Learning Videography for Click Free Viewing

360^∘ video requires human viewers to actively control "where" to look w...

Please sign up or login with your details

Forgot password? Click here to reset