Fast Video Analysis by Genetic Programming

author = "Andy Song",

title = "Fast Video Analysis by Genetic Programming",

booktitle = "2008 IEEE World Congress on Computational Intelligence",

year = "2008",

editor = "Jun Wang",

pages = "3237--3243",

address = "Hong Kong",

month = "1-6 " # jun,

organization = "IEEE Computational Intelligence Society",

publisher = "IEEE Press",

isbn13 = "978-1-4244-1823-7",

file = "EC0709.pdf",

DOI = "

doi:10.1109/CEC.2008.4631236",

abstract = "Genetic programming has been applied to various types of vision tasks. This paper extends the use of this powerful problem solving method to a more complex but more common domain, video analysis. We present the methodology as well as the experiments on two video analysis tasks: segmenting texture regions and detecting moving objects. The advantages of GP in this domain can be shown by this study. Firstly GP methods are less dependent on knowledge from domain experts. One methodology is suitable for both tasks. Secondly GP can generate fast video frame analysers which are highly desirable or even critical in real time vision applications.",

keywords = "genetic algorithms, genetic programming",

notes = "WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",