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People Tracking on a Mobile Companion Robot
2013
2013 IEEE International Conference on Systems, Man, and Cybernetics
Developing methods for people tracking on mobile robots is of great interest to engineers and scientists alike. Plenty of research is focused on pedestrian tracking in public areas. Yet, fewer work exists on practical people tracking in home environments with non-static cameras. This paper presents a realtime people tracking system for mobile robots that filters asynchronous, multi-modal detections using a Kalman filter for each person. It allows for upright and sitting pose people tracking in
doi:10.1109/smc.2013.743
dblp:conf/smc/VolkhardtWG13
fatcat:vsx6iv65qjbwbmswfmtmnj73om