The autonomous hidden camera crew
Timothy Callemein, Wiebe Van Ranst, Toon Goedem\'e

TL;DR
This paper introduces an unobtrusive, long-term autonomous camera system using hidden cameras and intelligent control to mimic professional cinematography, reducing manual labor and observer bias in reality TV filming.
Contribution
The paper presents a novel system that combines hidden cameras, intelligent data management, and automated cinematography to capture long-term human activities without manual intervention.
Findings
System effectively reduces recorded data volume.
Automated PTZ camera produces cinematographically pleasing shots.
System's performance comparable to professional camera crews.
Abstract
Reality TV shows that follow people in their day-to-day lives are not a new concept. However, the traditional methods used in the industry require a lot of manual labour and need the presence of at least one physical camera man. Because of this, the subjects tend to behave differently when they are aware of being recorded. This paper will present an approach to follow people in their day-to-day lives, for long periods of time (months to years), while being as unobtrusive as possible. To do this, we use unmanned cinematographically-aware cameras hidden in people's houses. Our contribution in this paper is twofold: First, we create a system to limit the amount of recorded data by intelligently controlling a video switch matrix, in combination with a multi-channel recorder. Second, we create a virtual camera man by controlling a PTZ camera to automatically make cinematographically pleasing…
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Taxonomy
TopicsAdvanced Vision and Imaging · Video Surveillance and Tracking Methods · Advanced Image and Video Retrieval Techniques
