| 基于模糊逻辑的多相机非重叠场景的物体匹配 |
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| 引用本文： | LOKE Yuan Ren,KUMAR Pankaj,黄为民.基于模糊逻辑的多相机非重叠场景的物体匹配[J].自动化学报,2006,32(6):978-987. |
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| 作者姓名： | LOKE Yuan Ren KUMAR Pankaj 黄为民 |
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| 作者单位： | 1.Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, SingaporeInstitute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore |
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| 摘 要： | An approach based on fuzzy logic for matching both articulated and non-articulated objects across multiple non-overlapping field of views (FoVs) from multiple cameras is proposed. We call it fuzzy logic matching algorithm (FLMA). The approach uses the information of object motion, shape and camera topology for matching objects across camera views. The motion and shape information of targets are obtained by tracking them using a combination of ConDensation and CAMShift tracking algorithms. The information of camera topology is obtained and used by calculating the projective transformation of each view with the common ground plane. The algorithm is suitable for tracking non-rigid objects with both linear and non-linear motion. We show videos of tracking objects across multiple cameras based on FLMA. From our experiments, the system is able to correctly match the targets across views with a high accuracy.
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| 关 键 词： | Multi-camera tracking fuzzy logic camera topology particle filter CAMShift |
| 收稿时间： | 2006-02-05 |
| 修稿时间： | 2006-05-05 |
Object Matching Across Multiple Non-overlapping Fields of View Using Fuzzy Logic |
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| LOKE Yuan Ren,KUMAR Pankaj,RANGANATH Surendra,HUANG Wei-Min.Object Matching Across Multiple Non-overlapping Fields of View Using Fuzzy Logic[J].Acta Automatica Sinica,2006,32(6):978-987. |
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| Authors: | LOKE Yuan Ren KUMAR Pankaj RANGANATH Surendra HUANG Wei-Min |
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| Affiliation: | 1.Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, SingaporeInstitute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore |
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| Abstract: | An approach based on fuzzy logic for matching both articulated and non-articulated objects across multiple non-overlapping field of views (FoVs) from multiple cameras is proposed. We call it fuzzy logic matching algorithm (FLMA). The approach uses the information of object motion, shape and camera topology for matching objects across camera views. The motion and shape information of targets are obtained by tracking them using a combination of ConDensation and CAMShift tracking algorithms. The information of camera topology is obtained and used by calculating the projective transformation of each view with the common ground plane. The algorithm is suitable for tracking non-rigid objects with both linear and non-linear motion. We show videos of tracking objects across multiple cameras based on FLMA. From our experiments, the system is able to correctly match the targets across views with a high accuracy. |
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| Keywords: | Multi-camera tracking fuzzy logic camera topology particle filter CAMShift |
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