Virtual Mouse using OpenCV's Mean shift Algorithm
Hand tracking and mouse control. Implemented using OpenCV's Mean shift Algorithm. Features supported : Left click and Drag/Drop .
Samsung is using this in their Smart TV now, at least it looks real similar.
This Virtual Mouse project by r5rejeet shows us how OpenCV can be used to interface the camera image and process it into a HMI device. You can move the mouse pointer around the screen by moving your open hand around, you can click by simply closing your hand. This allow for a surprisingly good looking gesture interface.
OpenCV ( http://opencv.org/ )is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 9 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.
Samsung is using this in their Smart TV now, at least it looks real similar.
This Virtual Mouse project by r5rejeet shows us how OpenCV can be used to interface the camera image and process it into a HMI device. You can move the mouse pointer around the screen by moving your open hand around, you can click by simply closing your hand. This allow for a surprisingly good looking gesture interface.
OpenCV ( http://opencv.org/ )is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 9 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.
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