EmbeddedMT

Embedded motion tracker using computer vision. This project envisages generic efficient motion tracking based on computer vision algorithms for resource limited devices.

Dependencies:

Most dependencies are because of the diverse availability of capturing devices and video en- and decoders available. May be improved later.

For the image processing part:

• wget & unzip for retrieving third party dependencies.
• gcc or clang
• scons
• cmake
• ffmpeg + swscale (minimal dependencies of ffmpeg: avformat, avcodec, avutil, swscale)
• For Linux:
  • V4L (V1 & V2) (only for webcams that support V4L. Ximea and Xine webcam support can be enabled in the openCV-sconsbuilder settings).
• For MAC OS X:
  • Cocoa framework (normally standard present) => Ffmpeg can be replaced by gstreamer package (minimal dependencies: gstreamer, gstapp, gstpbutils, gstriff, gobject, glib2.0)

For GUI:

• python 3 (3.4 recommend, else change in demo/demo_macosx)
• scipy
• numpy
• matplotlib
• For Linux:
  • GTK2 (minimal dependencies: gtk-x11, gdk-x11, cairo, gdk_pixbuf-2.0, gobject-2.0, glib-2.0)
• For MAC OS X:
  • Qtkit (normally standard present)

All necessary packages are available in most Linux package managers and Macports.

Names of the necessary packages in macports:

• gcc 4.8 : gcc48 (it is recommended to install gcc using the 'Command Line Tools' (part of Xcode) from the App Store, this way you will get the latest clang compiler)
• python2.7 : python27
• python3.4 : python34
• ffmpeg : ffmpeg (gstreamer 1.0 : gestreamer1 and gst-ffmpeg)
• scipy: py34-scipy
• numpy: py34-numpy
• matplotlib: py34-matplotlib

How to build:

run get3rdpartyGit.sh:

$ ./get3rdpartyGit.sh

run demo (first time the project will be built):

• for Linux:

  $ cd demo; ./demo_linux.sh

• for MAC OS X:

  $ cd demo; ./demo_macosx.sh

How to use:

For localhost demo's run the demo as described in 'how to build'. Alternatively or for non-localhost usage, use the python wrappers in wrappers/. Use the -h function for more info on each wrapper.

NOTE: for the best results it is recommended to set the exposure time of the capture device to manual.

Contact

Contact [email protected]