Thursday, November 24th, 2011, 74 days ago
HCI, Research

The preparation work
When I googled ‘pandaboard ubuntu’ I was firstly given the item of ‘ubuntu on pandaboar’. Following the link, finally, I was led to a ‘OMAP Ubuntu’ instruction page – it tells where I should start, to download the system image, and to burn it in a SD card.

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Wednesday, November 23rd, 2011, 75 days ago
HCI, Research

Just received the pandaboard, to show off (;)) before I start to install Ubuntu on it, and to run openCV to see what will happen. New post soon, about installing Ubuntu on this board, then installing and running openCV on it. More posts will be published soon.

Saturday, July 16th, 2011, 205 days ago
HCI, Research

Transferring the openCV from c++ to Java is what i am doing recently. Comparing with opencv c++ it feels more natural to programme in Java, because of the way of Object-oriented programming and some of Java’s advantages.
But how can the openCV be used in Java seamlessly?
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Tuesday, March 29th, 2011, 314 days ago
Design, Research

The last step, also the key step of detecting objects in openCV is to map the object position to mouse coordinates. Then the object can take over system manipulations. To move the mouse by own positions this needs to do some work.
Below is an example of controlling mouse using object detections.
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Monday, February 28th, 2011, 343 days ago
HCI, Research

As asked many times about how to use openCV to detect body movements or other object movements, i borrow an example from openCV installation samples, which regards to motion detections particularly in motion directions. Some relevant posts have been posted before here, but to declare the use of openCV samples, this artical is posted. The picture demonstrating above has clearly showed the detection results which is, from left up to right down, just as the object moves, which is actually my head and part of shoulder.
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Tuesday, December 28th, 2010, 405 days ago
HCI, Research

I found this by chance when i was searching something about body gesture recognitions. But this open library does attract me because it provides some features which can be very useful to detect and recognise objects, such like the picture above shows. Anyway i just provide a brief introduction to this library, and for more information please refer the official site here http://www.aforgenet.com/framework/samples/.
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