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| 2013-03-14 12:48:17 -0600 | received badge | ● Student (source) |
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| 2013-03-14 11:20:52 -0600 | answered a question | CvBlobTrackerAuto Memory Use By using the cvBlobs library you could do it yourself using just the memory you need. We developed our own blob tracking algo this way. |
| 2013-03-14 11:12:17 -0600 | asked a question | cvbloblib library quite heavy on the processor In my lab they developed an algorithm which provides real world robots positions by tracking color-coded markers with a camera. This is achieved using the cvBlobs library available here. The software is really heavy though: can't do more than 10fps on a dual core core2 with 2gigs of ram. The camera resolution is 1280x768, average number of markers is 8, maximum marker speed is about 10cm/s. Can OpenCL or CUDA or whatever be used in conjunction with OpenCV to speed up the calcs? These don't seem like taxing parameters, yet the software is running at 100% cpu. Since there is not much it can waste resources on, I am wondering if there are less computationally intensive ways of tracking markers via OpenCV that I could exploit. And why is there a cvBlobs separated library, and why there are no similar function in the main OpenCV library? |