Publikationen, an denen er mitarbeitet Francisco Mario Hernández Tejera (13)

2011

  1. Distance maps from unthresholded magnitudes

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

  2. Heuristic algorithm for visual tracking of deformable objects

    Journal of Visual Communication and Image Representation, Vol. 22, Núm. 6, pp. 465-478

  3. Real-time tracking using A* heuristic search and template updating

    IET Computer Vision, Vol. 5, Núm. 3, pp. 169-177

2006

  1. Particle swarms as video sequence inhabitants for object tracking in computer vision

    Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications

  2. Swarmtrack: A particle swarm approach to visual tracking

    VISAPP 2006 - Proceedings of the 1st International Conference on Computer Vision Theory and Applications

  3. Swarmtrack:: A particle swarm approach to visual tracking

    VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2

2005

  1. A fast and accurate tracking approach for automated visual surveillance

    Proceedings - International Carnahan Conference on Security Technology

  2. An Heuristic Search based Approach for Moving Objects Tracking

    19TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-05)

  3. An heuristic search based approach for moving objects tracking

    IJCAI International Joint Conference on Artificial Intelligence

  4. Heuristic algorithm for computing fast template motion in video streams

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

  5. Heuristic algorithms for fast and accurate tracking of moving objects in unrestricted environments

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

2001

  1. Increasing efficiency of Hausdorff approach for tracking real scenes with complex environments

    Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001