Pi Vision ported to ROS Indigo, together with various enhancements:
- Its been catkinized.
- Can track multiple faces.
- Attempts to perform localization in 3D, so that face positons are now published in 3D coordinates.
This is based on the original Pi Vision package, taken from http://wiki.ros.org/pi_vision, which had been abandonded after groovy. This package includes both includes http://wiki.ros.org/pi_face_tracker and http://wiki.ros.org/pi_face_tracker_gui
The plain, unenhanced port of pi_vision to indigo can be found in the
branch pi-vision-orig-indigo.
Requirements:
- ros-indigo-openni-camera
- mjpeg_server
- usb_cam
apt-get install ros-indigo-mjpeg-server
apt-get install ros-indigo-openni-camera
apt-get install ros-indigo-usb-cam
The node must be built from git:
git clone https://github.com/hansonrobotics/pi_vision
cd catkin; catkin build
source devel/setup.bash
To change camera settings modify the usb_cam.launch file.
roslaunch ros2opencv usb_cam.launch
roslaunch pi_face_tracker face_tracker_usb_cam.launch
Publishes a list of human faces being tracked. Each is given an ID number,
and a 3D coordinate. The coordinate frame used is the usual ROS
'engineering' frame: x is straight ahead, y is the the left, and z
is up. Units are in meters.
Publishes face tracking events. Currently, the only events published are
new_face and lost_face. The first indicates a newly-acquired face to
track, the second, that a face is no longer visible.
- Make it work with Kinect.
- Migrate to Python cv2 wrappers from cv. The cv wrappers use a c++-like interface, the cv2 wrappers use numpy and are more efficient.