We are developing an opt-in camera network, in which users carrying wearable tags are visible to the network and everyone else is invisible. Existing systems for configurable dynamic privacy in this context are opt-out and catch-all; users desiring privacy carry pre-registered tags that disable sensing and networked media services for everyone in the room. To address these issues, we separate video into layers of flexible sprites representing each person in the field of view, and transmit video of only those who opt-in. Our system can also define groups of users who can be dialed in and out of the video stream dynamically. For cross-reality applications, these dynamic layers achieve a new level of video granularity, allowing users and groups to uncover correspondences between their activities across spaces.