- author = "Brian Pinto and Andy Song",
- title = "Motion detection in complex environments by genetic programming",
- booktitle = "GECCO-2009 Late-Breaking Papers",
- year = "2009",
- editor = "Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore",
- pages = "2125--2130",
- address = "Montreal",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "8-12 " # jul,
- organisation = "SigEvo",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-60558-325-9",
- bibsource = "DBLP, http://dblp.uni-trier.de",
-
DOI = "
doi:10.1145/1570256.1570288",
- abstract = "Detecting motions is an important aspect of machine vision. However real world vision tasks often contain interfering motion information which is not of interest. To tackle this difficult task, we adapted Genetic Programming into this domain. The GP-based methodology presented in this paper does not require the implementation of existing motion detection algorithms. The evolved programs can detect genuine moving objects such as cars and boats, while ignoring background movements such as waving trees, rippling water surface and even pedestrians. These programs provide reliable performance under different lighting conditions, either indoors and outdoors. Furthermore no preprocessing of video input is required which is usually mandatory in conventional vision approaches.",
-
notes = "Distributed on CD-ROM at GECCO-2009.
ACM Order Number 910092.",
