Dear ROS users,
I would like to introduce
OpenPTrack,
an open source project for real time people tracking in RGB-D camera
networks targeted towards applications in education, art, and culture
(e.g. the
Whorl installation,
LASHP Welcome Center prototype, and
this education research project.)
It currently supports networks of Kinect v1, SwissRanger SR4500 and
stereo cameras custom-built with PointGrey cameras. Support for Kinect v2 will be added soon.
We have three deployed multi-imager testbeds at the UCLA Lab School, UCLA Interpretive Media Laboratory, and University of Indiana, and will add a fourth this month.
We are currently looking for developers interested in creating
easy to use front-end interfaces for OpenPTrack, thus fully automating
all of the steps of designing the camera network and setting up,
configuring, calibrating, operating, and debugging
the system.
* Required Skills: *
- Experience with C++.
- Experience with Robot Operating System (ROS).
* Nice To Have: *
- Experience developing web interfaces.
- Experience with ROS tools for developing web interfaces.
- Experience with OpenCV and PCL.
- Knowledge of people tracking algorithms.
- Knowledge of camera calibration algorithms.
In February, we are planning to launch a pilot
crowdfunding campaign to help support getting OpenPTrack in the hands of
more potential users, and would love to get these additional developers
aboard by that time.
Best regards,
Matteo
References:
M. Munaro, A. Horn, R. Illum, J. Burke and R. B. Rusu. OpenPTrack:
People Tracking for Heterogeneous Networks of Color-Depth Cameras. In
IAS-13 Workshop Proceedings: 1st Intl. Workshop on 3D Robot Perception
with Point Cloud Library, pp. 235-247, Padova, Italy,
2014 (
paper|
presentation).
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Matteo MUNARO, Ph.D.
Intelligent and Autonomous Systems Lab (IAS-Lab)
Department of Information Engineering (DEI)
Faculty of Engineering, The University of Padua
Via Ognissanti 72, I-35131 Padova, Italy
email: munaro@dei.unipd.it
phone: +390498277831
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