Genetic programming extension to APF-based monocular human body pose estimation

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Piotr Szczuko",
  title =        "Genetic programming extension to {APF}-based monocular
                 human body pose estimation",
  journal =      "Multimedia Tools and Applications",
  year =         "2014",
  volume =       "68",
  number =       "1",
  pages =        "177--192",
  keywords =     "genetic algorithms, genetic programming, pose
                 estimation, evolutionary optimisation",
  bibdate =      "2014-01-13",
  bibsource =    "DBLP,
  URL =          "",
  size =         "16 pages",
  abstract =     "New method of the human body pose estimation based on
                 a single camera 2D observation is presented, aimed at
                 smart surveillance related video analysis and action
                 recognition. It employs 3D model of the human body, and
                 genetic algorithm combined with annealed particle
                 filter for searching the global optimum of model state,
                 best matching the object's 2D observation.
                 Additionally, new motion cost metric is employed,
                 considering current pose and history of the body
                 movement, favouring the estimates with the lowest
                 changes of motion speed comparing to previous poses.
                 The genetic memory concept is introduced for the
                 genetic processing of both current and past states of
                 3D model. State-of-the-art in the field of human body
                 tracking is presented and discussed. Details of
                 implemented method are described. Results of
                 experimental evaluation of developed algorithm are
                 included and discussed.",

Genetic Programming entries for Piotr Szczuko