i tried CCV one time but i had some driver and performance issues moreover, i can't find an easy way to tune the processing chain pd is more flexible but, i agree, could be harder
-- do it yourself http://antoine.villeret.free.fr 2013/4/18 John Harrison <john.harri...@alum.mit.edu> > I'm not totally clear on the big picture here but it could be you might > save yourself a lot of time and effort doing your blob tracking with > Community Core Vision (CCV) then sending the blob data to Pd through OSC. > After initially doing my blob tracking in Pd only (which did work), I > switched to this CCV --> Pd approach and got better results because of all > of the built-in filtering etc. that is provided with that open-source > cross-platform software. > > -John > > > On Thu, Apr 18, 2013 at 5:22 AM, Ska Frenz <skafr...@gmail.com> wrote: > >> Hi, thank you for the suggestions, I'll check openCv. Can you explain how >> to use "morphological filters" to clear up the noise in the image? Are >> there examples around? Also, could you please explain me better what do you >> mean with "adaptive background subtraction method"? >> >> Thank you for your time :) >> >> francesco >> >> >> 2013/4/17 Antoine Villeret <antoine.ville...@gmail.com> >> >>> hi, >>> >>> the segmentation method (how you extract what is your interest from the >>> rest of the image) is very critical in video tracking >>> background subtraction is a basic way to extract blob and it works only >>> in certain conditions of light (if you want to track something outdoor, you >>> should use an adaptive background subtraction method) >>> moreover, there is no general method to do video tracking, it depends on >>> what you want to track and how it is filmed >>> >>> so, the first thing is to have a good image, with not too much lighting >>> changes, good contrast between background and features to track >>> then you can start thinking about segmentation, and the >>> segmentation accuracy depends on the quality of the video >>> you may need to do something more than just background subtraction, for >>> example, you could apply some morphological filter to remove noise >>> after that, you can start tracking >>> you could also apply a threshold on the blob size to not track very >>> small blob >>> blob of interest are often surrounded by very small blobs due to >>> segmentation noise >>> >>> but you can have a look at pix_opencv objects, >>> there is [pix_opencv_blobtrack] which implements a whole processing >>> chain, including foreground extractor, blob detector, blob tracker and >>> follower >>> I'm not sure it's included in pd-extended, but you can find some >>> binaries on build server >>> >>> hope this help >>> >>> antoine >>> >>> >>> -- >>> do it yourself >>> http://antoine.villeret.free.fr >>> >>> >>> 2013/4/17 Ska Frenz <skafr...@gmail.com> >>> >>>> Hi everyone, this is my first time on the pd-list so I hope I won't >>>> do anything wrong. >>>> I'm writing here to get some help about pd tracking objects >>>> (pix_blob..). I'm using the background subtraction method, to track objects >>>> and I need help to understand how I can track multiple objects with >>>> multiples different blobs. I'm trying the pix_multiblob and yes, it show 2 >>>> blobs..but they track the same object. Then basically I do not understand >>>> how can I make the first blob to follow just one object for all the time >>>> that specific object is inside the webcam rectangle, and the second blob to >>>> track another separate object. I cannot find any material that clearly >>>> talks about this.I attached the patch I'm working on. I'd love to see some >>>> well-explained examples if you know where to get them. >>>> Thank you very much for your help :) >>>> >>>> Francesco >>>> >>>> _______________________________________________ >>>> Pd-list@iem.at mailing list >>>> UNSUBSCRIBE and account-management -> >>>> http://lists.puredata.info/listinfo/pd-list >>>> >>>> >>> >> >> _______________________________________________ >> Pd-list@iem.at mailing list >> UNSUBSCRIBE and account-management -> >> http://lists.puredata.info/listinfo/pd-list >> >> >
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