Juan Carlos García García-rekin lankidetzan egindako argitalpenak (13)

2010

  1. Stereo vision tracking of multiple objects in complex indoor environments

    Sensors, Vol. 10, Núm. 10, pp. 8865-8887

2008

  1. A Bayesian solution to robustly track multiple objects from visual data

    Studies in Computational Intelligence, Vol. 109, pp. 531-547

  2. Robot and obstacles localization and tracking with an external camera ring

    Proceedings - IEEE International Conference on Robotics and Automation

2007

  1. Comparing a Kalman filter and a particle filter in a multiple objects tracking application

    2007 IEEE International Symposium on Intelligent Signal Processing, WISP

  2. Comparing improved versions of 'K-Means' and 'Subtractive' clustering in a tracking application

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Extraction of 3D features from complex environments in visual tracking applications

    Conference Record - IEEE Instrumentation and Measurement Technology Conference

  4. Tracking multiple objects using a kalman filter and a probabilistic association process

    IEEE International Symposium on Industrial Electronics

2006

  1. 3D-visual detection of multiple objects and structural features in complex and dynamic indoor environments

    IECON Proceedings (Industrial Electronics Conference)

  2. A Bayesian solution to track multiple and dynamic objects robustly from visual data

    IEEE Intelligent Systems

2005

  1. "XPFCP": An extended Particle Filter for tracking multiple and dynamic objects in complex environments

    2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

  2. "XPFCP": An extended particle filter for tracking multiple and dynamic objects in complex environments

    IEEE International Symposium on Industrial Electronics

  3. Clustering methods for 3D vision data and its application in a probabilistic estimator for tracking multiple objects

    IECON Proceedings (Industrial Electronics Conference)

2003

  1. Fusing odometric and vision data with an EKF to estimate the absolute position of an autonomous mobile robot

    IEEE International Conference on Emerging Technologies and Factory Automation, ETFA