CRLB and ML for parametric estimate: new results
Signal Processing
A Real Time Vision System for Autonomous Systems: Characterization during a Middle Size Match
RoboCup 2007: Robot Soccer World Cup XI
Journal of Visual Communication and Image Representation
Estimating 3D Positions and Velocities of Projectiles from Monocular Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking of Ball Trajectories with a Free Moving Camera-Inertial Sensor
RoboCup 2008: Robot Soccer World Cup XII
Online 3-D trajectory estimation of a flying object from a monocular image sequence
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Playfield and ball detection in soccer video
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
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This paper proposes a novel architecture for real-time 3D ball trajectory estimation with a monocular camera in Middle Size League scenario. Our proposed system consists on detecting possible multiple ball candidates in the image, that are filtered in a multi-target data association layer. Validated ball candidates have their 3D trajectory estimated by Maximum Likelihood method (MLM) followed by a recursive refinement obtained with an Extended Kalman Filter (EKF). Our approach was validated in real RoboCup scenario, evaluated recurring to ground truth information obtained by alternative methods allowing overall performance and quality assessment.