Title :
Unknown-color spherical object detection and tracking
Author :
Troppan, Anze ; Guerreiro, Eduardo ; Celiberti, Francesco ; Santos, Giovanni ; Ahmad, Ayaz ; Lima, Pedro U.
Author_Institution :
Inst. for Syst. & Robot., Inst. Super. Tecnico Lisboa, Lisbon, Portugal
Abstract :
Detection and tracking of an unknown-color spherical object in a partially-known environment using a robot with a single camera is the core problem addressed in this article. A novel color detection mechanism, which exploits the geometrical properties of the spherical object´s projection onto the image plane, precedes the object´s detection process. A Kalman filter-based tracker uses the object detection in its update step and tracks the spherical object. Real robot experimental evaluation of the proposed method is presented on soccer robots detecting and tracking an unknown-color ball.
Keywords :
Kalman filters; image colour analysis; mobile robots; object detection; object tracking; robot vision; Kalman filter-based tracker; color detection mechanism; geometrical properties; image plane; partially-known environment; soccer robots; unknown-color ball; unknown-color spherical object detection; unknown-color spherical object tracking; update step; Cameras; Image color analysis; Lighting; Object detection; Robot kinematics; Robot vision systems;
Conference_Titel :
Autonomous Robot Systems (Robotica), 2013 13th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4799-1246-9
DOI :
10.1109/Robotica.2013.6623533