User detection, recognition and tracking is at the heart of Human Robot Interaction, and yet, to date, no universal robust method exists for being aware of the people in a robot surroundings. The presented work aims at importing into existing social robotics platforms different techniques, some of them classical, and other novel, for detecting, recognizing and tracking human users. These algorithms are based on a variety of sensors, mainly cameras and depth imaging devices, but also lasers and microphones. The results of these parallel algorithms are then merged so as to obtain a modular, expandable and fast architecture. This results in a local user mapping thanks to multi-modal fusion.
This package contains the definition of the messages and services.
Dependencies: please run the rosdep utility:
$ sudo apt-get install python-rosdep
$ sudo rosdep init
$ rosdep install people_msgs_rl --ignore-srcLGPL v3 (GNU Lesser General Public License version 3). See LICENCE.