Estimating object proper motion using optical flow, kinematics, and depth information.
For the interaction of a mobile robot with a dynamic environment, the estimation of object motion is desired while the robot is walking and/or turning its head. In this paper, we describe a system which manages this task by combining depth from a stereo camera and computation of the camera movement from robot kinematics in order to stabilize the camera images. Moving objects are detected by applying optical flow to the stabilized images followed by a filtering method, which incorporates both prior knowledge about the accuracy of the measurement and the uncertainties of the measurement process itself. The efficiency of this system is demonstrated in a dynamic real-world scenario with a walking humanoid robot.
Schmüdderich
Jens
J
Applied Computer Science Group, Bielefeld University, 33501 Bielefeld, Germany.
Willert
Volker
V
Eggert
Julian
J
Rebhan
Sven
S
Goerick
Christian
C
Sagerer
Gerhard
G
Körner
Edgar
E
D000465:Algorithms; D001696:Biomechanical Phenomena / Q000379:methods*; D003198:Computer Simulation; D008962:Models, Theoretical; D009038:Motion; D012212:Rheology / Q000379:methods*; D012371:Robotics / Q000379:methods*