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 Post subject: slow tracking
PostPosted: Fri Nov 23, 2012 5:53 am 

Joined: Fri Nov 23, 2012 5:41 am
Posts: 4
System has a very low tracking speed, 14 sec per frame (recording of one kinect). I can not understand such slow tracking with my computer specs. Is it the trial software? Any idea how to speed up the proces??


i7 2630QM (quad core) 2.0mhz
4gb ram
Geforce gt540m 1gb video card


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 Post subject: Re: slow tracking
PostPosted: Sat Nov 24, 2012 9:33 am 

Joined: Sat Nov 24, 2012 12:56 am
Posts: 1
Yes dude the same problem with me.


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 Post subject: Re: slow tracking
PostPosted: Sat Nov 24, 2012 11:18 am 
iPi Soft

Joined: Tue Mar 31, 2009 9:13 pm
Posts: 805
Your system is probably in integrated graphics mode, or power-saving mode. You should switch to discrete graphics and maximum performance mode.

Also please note that Geforce gt540m is a pretty slow notebook video card. You need a fast gaming-class desktop video card for adequate performance. iPi Mocap is a GPGPU application, it does all calculations on video card.

http://wiki.ipisoft.com/Cameras_and_acc ... Video_Card


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 Post subject: Re: slow tracking
PostPosted: Mon Nov 26, 2012 3:31 am 

Joined: Fri Nov 23, 2012 5:41 am
Posts: 4
Ok thanx, i'll try to set my computer in max perf mode.

From your tests of video cards i conclude that a processing time of 0.6 sec is fast, this would give a total processing time of 18 min per one minute of recording (30fps, one kinect). Markerless tracking would be a great addition for our company (compared to systems like Xsens) , but this "fastest" processing time is much to slow when you think of measurement of atleast 15min.

When do you expect on the fly calculations of body postures? or is this an utopia with markerless tracking?

regards
Reinier


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 Post subject: Re: slow tracking
PostPosted: Mon Nov 26, 2012 6:44 am 

Joined: Mon Aug 03, 2009 1:34 pm
Posts: 2423
Location: Los Angeles
reinierkonemann wrote:
From your tests of video cards i conclude that a processing time of 0.6 sec is fast, this would give a total processing time of 18 min per one minute of recording (30fps, one kinect)

I prefer to look at it this way: tracking 1 frame at 0.6 sec is 100 frames per minute. IMO, that's actually quite good considering how long it takes to keyframe a minute of similar motions by hand at work. But I guess this all relative--I'm hardly the fastest animator. :)

Also, I think 0.6 is becoming average--my old GTX 460 at home tracks just a hair slower (0.67 per frame) and I feel like I'm able to plow through a lot of data with it in a reasonable time. A more current graphics card should be significantly faster.

I'll concede that the result still won't be considered realtime motion capture, which sounds like what you're looking for. There are a few realtime mocap systems available but IMO the quality of realtime mocap can be a bit 'shakey' by comparison to the fully tracked results from iPi DMC. The benefit of having iPi Studio track your data with greater accuracy is that you'll spend far less time cleaning up the motions in your animation program.

G.

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 Post subject: Re: slow tracking
PostPosted: Mon Nov 26, 2012 7:51 am 
iPi Soft

Joined: Wed Jan 11, 2012 6:12 am
Posts: 2355
Location: Moscow, Russia
reinierkonemann wrote:
From your tests of video cards i conclude that a processing time of 0.6 sec is fast

This table is a little bit aged, we've made some performance improvements since then. Also, it shows processing speed for 3 RGB cameras. On modern top gaming cards like NVIDIA GTX 580 the performance for dual Kinect tracking is about 3-5 frames per second. For $100-level video cards like AMD Radeon HD 6670 it's about 1.2 fps.
reinierkonemann wrote:
When do you expect on the fly calculations of body postures? or is this an utopia with markerless tracking?

There is an obvious trade-off between the speed and the accuracy of tracking. You can already see a number of realtime motion capture solutions employing Kinect SDK skeletal tracking, but they do not provide adequate results in many situations.
We plan to invest much time next year in getting (closer) to realtime. But we do not want this to be achieved at the cost of the quality of tracking that our software provides. So the task is difficult enough. Nevertheless, we are absolutely sure that our software will be able to do realtime calculations within the next few years.


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