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    Export 15 results:
      2010
      M. Marron, et al., “Stereo Vision Tracking of Multiple Objects in Complex Indoor Environments”, Sensors, vol. 10, no. 4, p. 8865-8887, 2010. Abstract  Download: sensors-def.pdf (1.04 MB)
      2008
      M. Marron, J. C. Garcia, M. A. Sotelo, D. Pizarro, I. Bravo, and J. L. Martin, “A Bayesian Solution to Robustly Track Multiple Objects from Visual Data”, in INTELLIGENT TECHNIQUES AND TOOLS FOR NOVEL SYSTEM ARCHITECTURES, vol. 109, Berlin/Heidelberg (ALEMANIA): , 2008, p. 531-547. Abstract  Download: a_bayesian_solution-fulltext.pdf (618.34 KB)
      D. Pizarro, et al., “Robot and Obstacles Localization and Tracking with an External Camera Ring”, in 2008 IEEE International Conference on Robotics and Automation (ICRA08), Pasadena, California (USA), 2008, p. 516-521. Abstract  Download: 2008-icra-pizarro.pdf (795.56 KB)
      2007
      M. Marron, et al., “Comparing a Kalman Filter and a Particle Filter in a Multiple Objects Tracking Application”, in 2007 IEEE International Symposium on Intelligent Signal Processing, Alcalá de Henares, Spain, 2007, p. 1-6. Abstract  Download: wisp07_def.pdf (337.98 KB)
      M. A. Sotelo, et al., “Vision-Based Blind Spot Detection Using Optical Flow”, Lecture Notes in Computer Science, vol. 4739, p. 1113-1118, 2007. Abstract  Download: sotelo_visionbasedblindspotlncsversion.pdf (167.55 KB)
      2006
      M. Marron, M. A. Sotelo, and J. C. Garcia, “Combined Stochastic-Deterministic Solution for Tracking Multiple Objects with an Stereo-Vision System”, WSEAS Transactions on Signal Processing, vol. 2, no. 2, p. 253-260, 2006. Abstract  Download: journal3.pdf (1.49 MB)
      2005
      2004
      M. Marron, M. A. Sotelo, and J. C. Garcia, “A PROBABILISTIC MULTIMODAL ALGORITHM FOR TRACKING MULTIPLE AND DYNAMIC OBJECTS”, in ROBOTICS: TRENDS, PRINCIPLES AND APPLICATIONS, vol. 15, Alburquerque (USA): , 2004, p. 511-516. Abstract  Download: isora-066.pdf (216.86 KB)
      2003
      M. Marron, J. C. Garcia, M. A. Sotelo, E. Lopez, and M. Mazo, “Fusing odometric and vision data with an EKF to estimate the absolute position of an autonomous mobile robot”, in ETFA '03, IEEE Conference on Emerging Technologies and Factory Automation, 2003., Lisboa (Portugal), 2003, vol. 1, p. 591 - 596. Abstract
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