Lesson Description
Auto-Framing and Presenter Tracking
3m 29s
Understand the difference between Auto-Framing, audio-based camera preset recalls, and full presenter-tracking.
Transcript
Auto-Framing and Presenter Tracking
3m 29s
00:06
I mentioned earlier that you want to
00:07
leave your shots a little wide,
00:09
and you don't want to get too tight on them.
00:11
I also mentioned that we can compensate for this
00:13
later by engaging auto-framing.
00:16
Auto-framing is a feature in the NC series cameras
00:18
which allows us to find the face in the shot and then
00:22
pull in the crop a little bit to get a tighter shot of that person.
00:26
If there are multiple faces, it will focus on multiple
00:28
faces accordingly.
00:28
We are compensating for the number of people in the shot.
00:31
We're going to do that.
00:32
I'm going to leave my shots a little bit wide,
00:34
and I'm going to engage auto-framing on my cameras.
00:38
This can be done in the camera itself through the control panel.
00:42
There's a panel called Auto Framing,
00:44
and I will enable that for each of the cameras to
00:47
ensure that we get a tighter shot when needed.
00:49
I do want to talk about the difference between
00:52
auto-framing and tracking.
00:56
Camera 3, let's have this conversation.
00:59
What is the difference between auto-framing,
01:02
tracking, and automatic camera preset recall?
01:05
These terms often get confused because they
01:09
seem interchangeable.
01:10
When we are doing auto-framing,
01:13
we are not actually tracking a face as it
01:16
moves around in the camera shots.
01:19
We are not guiding the camera to follow anyone.
01:22
We're just identifying a human face and
01:25
providing some cropping.
01:26
That's all that's going on.
01:27
No data is coming in about where that
01:29
person is sitting in the room,
01:31
where they're standing,
01:31
or what they're doing.
01:34
That is auto-framing.
01:36
If you need tracking,
01:38
if you need full body tracking,
01:41
that is something else entirely which we do offer.
01:43
Make sure you're aware of it.
01:45
For full body tracking,
01:46
we have Seervision.
01:48
Seervision is our AI-driven presenter
01:51
tracking system that keeps data on who is in the room,
01:56
where they are traveling,
01:57
and where their face goes.
01:59
We have full-scale analysis of their entire body,
02:02
and we can do all kinds of things with that information
02:05
based on where they are and what they're doing in the room.
02:08
That is tracking.
02:10
That is Seervision.
02:11
That is part of the Seervision commissioning.
02:13
If you want to get fully Vision Suite certified,
02:16
after completing the ACPR commissioning,
02:18
you can take the Seervision commissioning
02:20
as well to become Vision Suite certified.
02:23
This is different from what we're doing here.
02:25
Here, we are using the audio in the room to
02:30
trigger the camera presets.
02:31
We are not using the video in the room
02:34
to trigger the camera presets or to track anyone.
02:37
It's a very important distinction to know the difference
02:40
between ACPR, auto-framing, and Seervision.
02:44
This does not mean you can't use them both at the same time.
02:47
When you're using Seervision to
02:49
track someone in the room,
02:51
you can still have ACPR engaged.
02:53
For instance, when a voice is detected in the audience,
02:57
you can cut from Seervision,
03:01
zoom in,
03:01
and find the right people in the room using ACPR,
03:03
and then go back to Seervision for full presenter tracking.
03:07
Cool.
03:08
All right, back to you.
03:12
We've got our distinctions made,
03:14
and we've got our control panel set up.
03:16
We are now going to do this. Before we proceed,
03:20
we're going to lay out our design so it's easier to follow through.
03:24
We'll be right back with that.