Point tracking on live video

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For an automation experiment I need to track 4 points on video frames.

Imagine a camera looking at a book like rectangular object held by a person.
This person will move the book on vertical and horizontal directions. Motion
may have some tilt as well. What I want to to do is find tha corners of the
object and track and log their positions on each frame.

I would like to do this on a live video (15-25 frames/sec, 640x480 or
1024x768 resolution) of firewire or USB camera attached to a Linux (or
Windows) PC.
Is there any opensource freeware SW for this ?

Thanks for help.



Re: Point tracking on live video

something like this?

http://www.ptgrey.com/products/compass3D/index.html

-howy


Re: Point tracking on live video


THANK YOU.. Spot On!..
Yes, that is almost identical to my application. That is what I'm looking.
BUT I'm trying to find a freeware opensource code. Do you know one?



Re: Point tracking on live video



I wrote a script in MATLAB that finds the corners of a sheet of paper
for a computer vision homework assignment. It relies on the paper having
significant contrast with the background, though. I can you send you the
source code if you want it. It uses and edge filter and a hough
transform.

--
|\/|  /|  |2  |<
mehaase(at)sas(dot)upenn(dot)edu

Re: Point tracking on live video



Take a look at openCV. It includes several examples that demonstrate
tracking. If your book like object can have a checkerboard pasted on the
front then opencv has a function that will probably do exactly what you
need.

www.intel.com/research/mrl/research/opencv/


Re: Point tracking on live video


There is a very nice series of articles on robotic
vision in SERVO magazine, written by the creator of
MAVIS, the vision system used on the LEAF robots.

http://www.leafproject.org/
--
D. Jay Newman
http://enerd.ws/robots/

Re: Point tracking on live video


Intel's "Open Source Computer Vision Library"
http://www.intel.com/technology/computing/opencv/index.htm

One of their detection samples is real-time face tracking.

Later,
Daniel

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