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Fast ball detection method for ping-pong playing robots
Sun J(孙静); Tian JD(田建东); Du YK(杜英魁); Tang YD(唐延东)
Department机器人学研究室
Conference Name2009 2nd International Symposium on Information Science and Engineering, ISISE 2009
Conference DateDecember 26-28, 2009
Conference PlaceShanghai, China
Author of SourceShanghai Institute of Electronics; Shanghai Jiaotong University; Fudan University; Peoples' Friendship University of Russia; National Chung Hsing University
Source Publication2nd International Symposium on Information Science and Engineering, ISISE 2009
PublisherIEEE Computer Society
Publication PlacePiscataway, NJ, USA
2010
Pages339-343
Indexed ByEI
EI Accession number20102112956429
Contribution Rank1
ISBN978-0-7695-3991-1
KeywordImage Processing Ping-pong Playing Robot Target Detection
AbstractPing-pong ball detection plays an important role in the vision system of ping-pong playing robots. In the paper, we present a fast ball detection method for ping-pong playing robot. A reasonable searching region is proposed based on the ping-pong table and the prediction of the ball's current position. Five key points are used to detect the ball in our method to meet the ping-pong ball's high speed. Because we use points to the ping-pong ball instead of the ball's region, the process of the detection can be finished during one scanning, which greatly increases the detecting speed. Experimental results verify the feasibility and the efficiency of our method.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/20046
Collection机器人学研究室
Corresponding AuthorSun J(孙静)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
2.Graduate University, Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
GB/T 7714
Sun J,Tian JD,Du YK,et al. Fast ball detection method for ping-pong playing robots[C]//Shanghai Institute of Electronics; Shanghai Jiaotong University; Fudan University; Peoples' Friendship University of Russia; National Chung Hsing University. Piscataway, NJ, USA:IEEE Computer Society,2010:339-343.
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