Skip to main content

Camshift Tracker v0.1 up

https://code.google.com/p/os6sense/downloads/list

I thought I'd upload my tracker, watch the video from yesterday for an example of the sort of performance to expect under optimal conditions! Optimal conditions means stable lighting, and removing elements of a similar colour to that which you wish to track. Performance is probably a little worse, (and at best similar to) the touchless SDK.

Under suboptimal conditions...well its useless but then so are most trackers which is a real source of complaint about most of the computer vision research out there.....not that they perform poorly but rather that there is far too little honesty in just how poorly various algorithms perform under non-laboratory conditions.

I've a few revisions to make to improve performance and stability and I'm not proud of the code. It's been...8 years since I last did anything with C++ and to be frank I'd describe this more as a hack. Once this masters is out of the way I plan to look at this again and try out some of my ideas but I really see any approach which relies on colour based segmentation and standard webcams as having limited applicability.

So its taken a while but I hope this proves of use to someone someone some day.

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

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 ...
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