Improving Fitness Function and Optimising Training Data in GP for Object Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Mengjie Zhang and Malcolm Lett",
  title =        "Improving Fitness Function and Optimising Training
                 Data in GP for Object Detection",
  institution =  "Computer Science, Victoria University of Wellington",
  year =         "2006",
  number =       "CS-TR-06-8",
  address =      "New Zealand",
  keywords =     "genetic algorithms, genetic programming, Fitness
                 function, training examples, object detection, object
                 classification, object recognition, object
  URL =          "",
  URL =          "",
  abstract =     "the refinement of a fitness function and the
                 optimisation of training data in genetic programming
                 (GP) for object detection particularly object
                 localisation problems. The fitness function uses the
                 weighted F-measure of a genetic program and considers
                 the localisation fitness values of the detected object
                 locations. To investigate the training data with this
                 fitness function, we categorise the training data into
                 four types: exact centre, close to centre, include
                 centre, and background. The approach is examined and
                 compared with an existing fitness function on three
                 object detection problems of increasing difficulty. The
                 results suggest that the new fitness function
                 outperforms the old one by producing far fewer false
                 alarms and spending much less training time and that
                 the first two types of the training examples contain
                 most of the useful information for object detection.
                 The results also suggest that the complete background
                 type of data can be removed from the training set.",

Genetic Programming entries for Mengjie Zhang Malcolm Lett