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Investigation on multisets mixture learning based object detection

文献类型：期刊论文

作者Liu, Zhi-Yong1; Qiao, Hong1; Xu, Lei2
刊名INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
出版日期2007-12-01
卷号21期号:8页码:1339-1351
关键词object detection rival penalized competitive learning multisets mixture learning
通讯作者Liu, Zhi-Yong
英文摘要By minimizing the mean square reconstruction error, multisets mixture learning (MML)provides a general approach for object detection in image. To calculate each sample reconstruction error, as the object template is represented by a set of contour points, the MML needs to inefficiently enumerate the distances between the sample and all the contour points. In this paper, we develop the line segment approximation (LSA) algorithm to calculate the reconstruction error, which is shown theoretically and experimentally to be more efficient than the enumeration method. It is also experimentally illustrated that the MML based algorithm has a better noise resistance ability than the generalized Hough transform (GHT) based counterpart.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]HOUGH TRANSFORM RHT ; CURVE DETECTION
收录类别SCI ; ISTP
语种英语
WOS记录号WOS:000253298200008
源URL[http://ir.ia.ac.cn/handle/173211/9473]  
专题自动化研究所_09年以前成果
作者单位1.Chinese Acad Sci, Lab Complex Syst & Sci, Inst Automat, Beijing 100080, Peoples R China
2.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Zhi-Yong,Qiao, Hong,Xu, Lei. Investigation on multisets mixture learning based object detection[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2007,21(8):1339-1351.
APA Liu, Zhi-Yong,Qiao, Hong,&Xu, Lei.(2007).Investigation on multisets mixture learning based object detection.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,21(8),1339-1351.
MLA Liu, Zhi-Yong,et al."Investigation on multisets mixture learning based object detection".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 21.8(2007):1339-1351.

入库方式： OAI收割

来源：自动化研究所

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