title: Estimating object proper motion using optical flow, kinematics, and depth information.
abstract: 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.
authors.affiliation: Applied Computer Science Group, Bielefeld University, 33501 Bielefeld, Germany.
authors.forename: Jens
authors.initials: J
authors.lastname: Schmüdderich
authors.forename: Volker
authors.initials: V
authors.lastname: Willert
authors.forename: Julian
authors.initials: J
authors.lastname: Eggert
authors.forename: Sven
authors.initials: S
authors.lastname: Rebhan
authors.forename: Christian
authors.initials: C
authors.lastname: Goerick
authors.forename: Gerhard
authors.initials: G
authors.lastname: Sagerer
authors.forename: Edgar
authors.initials: E
authors.lastname: Körner
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena / Q000379:methods*; D003198:Computer Simulation; D008962:Models, Theoretical; D009038:Motion; D012212:Rheology / Q000379:methods*; D012371:Robotics / Q000379:methods*