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GECCO
2008
Springer

Robust method of detecting moving objects in videos evolved by genetic programming

9 years 11 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were proposed and investigated, single-frame approach and multi-frame approach. The former is based on analyzing individual video frames and treat them independently while the latter approach consider a sequence of frames. In the single-frame approach, three methods are investigated including using pixel intensity, pixel hue value and feature values. The experiments on Robosoccer field show that GP could detect the target under different lighting conditions and could even handle arbitrary camera positions. Although there was no domain knowledge had been provided during evolution, GP was able to produce moving object detectors that were robust and fast. Categories and Subject Descriptors I.5.4 [Pattern Recognition]: Applications; I.2.10 [Vision and Scene Understanding]: Video analysis General Terms Algorithms, Design,...
Andy Song, Danny Fang
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2008
Where GECCO
Authors Andy Song, Danny Fang
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