DocumentCode :
2613224
Title :
A fast billet location algorithm using particle swarm optimization
Author :
Chen, Wei ; Fang, Kangling
Author_Institution :
Sch. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
2-5 July 2008
Firstpage :
1098
Lastpage :
1102
Abstract :
This paper addresses the problem of real-time location of billet in steel mill. One major difficulty encountered in the billet location control is that there is not a fixed lighting in the kiln, and the light would be changed with the change of temperature. However, the background subtracting method is sensitive to changes of dynamic scene due to lighting and extraneous events which may reduce false detection. This paper proposes an adaptive detection window method based on particle swarm optimization for a video location system with static camera as a visual sensor. In the practical application, the algorithm can adapt the changes of lighting, and obtained good control performance under the industrial environment.
Keywords :
billets; image sensors; object detection; particle swarm optimisation; production engineering computing; production facilities; steel industry; adaptive detection window method; background subtracting method; fast billet location algorithm; particle swarm optimization; static camera; steel mill billet location control; video location system; visual sensor; Billets; Event detection; Kilns; Layout; Lighting control; Milling machines; Particle swarm optimization; Steel; Temperature control; Temperature sensors; Adaptive detecting window; Background Subtraction; Billet Location; Machine Vision; Particle Swarm Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4244-2494-8
Electronic_ISBN :
978-1-4244-2495-5
Type :
conf
DOI :
10.1109/AIM.2008.4601815
Filename :
4601815
Link To Document :
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