Skip to main content

New Detector Done

Much better but I'm still not happy with it - camshift + backproj + kalman means that the marker coordinates are a lot smoother with far less noise (obviously) but the nature of detecting markers in segmented video still leads to a less than robust implementation. There's room for improvement and I still need to add in some form of input dialog for naming markers (and I must confess I am CLUELESS on the c++ side for that.....wxwidgets? Qt?) but I'm that little bit happier.

As per usual I had hoped for a video, but the lack of a dialog makes configuring things into a manual process (I've got basic save/load support working but given how sensitive this is to lighting still its a lot of messing around) hence I'm delaying yet again. Given my page views though I don't think I will be disappointing many people.

What is frustrating is the amount of time I've had to spend on basic work with computer vision rather than looking at the actual interactions for this technology. While I may NOT be the greatest coder ever, or even 1/2 as clever as I once thought I was (about 25 years ago), with the number of truly great coders and minds who have worked on computer vision I'm still somewhat disappointed that there's nothing really magnitudes more robust out there than what I'm doing. That said of course, if I was able to work with a kinect or similar tech I would expect something far more impressive but the 50cm limit for the depth sensing renders that point moot (by about 25cm). And I still think that some of the AI techniques could pay off dividends....and there are still a number of basic tricks I could apply (e.g. laplace to build a feature module for sift/surf/hmm detection of hands and finger pose detection - I cant help but think that would work really well) but I have to get away from the computer vision research sadly.

Anyways - I do think I'm at the last fence; video definitely over the next few days.

Comments

Post a Comment

Popular posts from this blog

I know I should move on and start a new blog but I'm keeping this my temporary home. New project, massive overkill in website creation. I've a simple project to put up a four page website which was already somewhat over specified in being hosted on AWS and S3. This isn't quite ridiculous enough though so I am using puppet to manage an EC2 instance (it will eventually need some server side work) and making it available in multiple regions. That would almost have been enough but I'm currently working on being able to provision an instance either in AWS or Rackspace because...well...Amazon might totally go down one day! Yes, its over-the-top but I needed something simple to help me climb up the devops and cloud learning curve. So off the bat - puppet installation. I've an older 10.04 Ubuntu virtual server which has been somewhat under-taxed so I've set that up as a puppet master. First lesson - always use the latest version from a tarball unless you have kept t...
Post a Comment
Read more

More Observations

After this post I AM going to make videos ;) I spent some time doing some basic tests last night under non optimal (but good) conditions: 1) Double click/single click/long tap/short tap These all can be supported using in air interactions and pinch gestures. I'd estimate I had +90% accuracy in detection rate for everything apart from single click. Single click is harder to do since it can only be flagged after the delay for detecting a double click has expired and this leads to some lag in the responsiveness of the application. 2) The predator/planetary cursor design. In order to increase the stability of my primary marker when only looking at a single point e.g. when air drawing, I decided to modify my cursor design. I feel that both fiducial points should be visible to the user but it didn't quite "feel" right to me using either the upper or lower fiducial when concentrating on a single point hence I've introduced a mid-point cursor that is always 1/2 wa...
Post a Comment
Read more

Finally...

Children back at school and I'm back off my hols (a rather interesting time in Estonia if you're interested). I've spent most of the last week becoming increasingly frustrated with my attempts at image segmentation. I've moved to a c++ implementation for speed and, while the VERY simplistic HSV segmentation technique I am using works, the problem is that I cannot get it to work robustly and doubt that it will ever do such. I've now covered the range of available techniques and even tried to plumb the depths of just emerging ones and it seems that every computer vision based object tracking implementation or algorithm suffers for the same issue with robustness (openTLD, camshift, touchless, hsv segmentation and cvBlob etc etc). YES, it can be made to work, but issues include (depending on the algorithm) : - Object drift : over time the target marker will cease to be recognised and other objects will become the target focus. - Multiple objects : During segments...
Post a Comment
Read more