LookOut! Interactive Camera Gimbal Controller for Filming Long Takes

Author:

Sayed Mohamed1ORCID,Cinca Robert1,Costanza Enrico1,Brostow Gabriel1

Affiliation:

1. University College London, London, United Kingdom

Abstract

The job of a camera operator is 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 the operator up to focus on safety and aesthetics during a take. Our real-time system provides solo operators with end-to-end control so that they can balance on-set responsiveness to action against planned storyboards and framing while looking where they are 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 premade script. Specifically, our automatic monitoring of the live video feed saves the operator from distractions. In preproduction, an artist uses our graphical user interface (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) filmmakers who used all aspects of our system and (b) filmmakers who watched footage filmed using LookOut.

Funder

UK EPSRC

Microsoft Research PhD Scholarship

UCL Interaction Centre

UCLIC Ethics Committee

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference77 articles.

1. Capturing Subjective First-Person View Shots with Drones for Automated Cinematography

2. John G. Avildsen, Irwin Winkler, and Robert Chartoff. 1976. Rocky. United Artists.

3. Fully-Convolutional Siamese Networks for Object Tracking

4. Cinematography Theory and Practice

5. Garrett Brown;Brown Garrett;http://www.garrettbrown.com/,2018

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Don’t Look Now: Audio/Haptic Guidance for 3D Scanning of Landmarks;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Object-tracking gimbal for projection mapping;International Workshop on Advanced Imaging Technology (IWAIT) 2023;2023-03-26

3. PopStage;ACM Transactions on Graphics;2022-11-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3