2017 Fiscal Year Final Research Report
Large-scale multi-target tracking problem to identify massive people flow in urban area
| Project/Area Number |
15K12462
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Osaka University |
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Principal Investigator |
Umetani Shunji 大阪大学, 情報科学研究科, 准教授 (80367820)
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| Co-Investigator(Kenkyū-buntansha) |
蓮池 隆 早稲田大学, 理工学術院, 准教授 (50557949)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | トラッキング |
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| Outline of Final Research Achievements |
Analysis of spatiotemporal people flow in urban area has become increasingly important in many application including marketing and public services.
Although we can partially monitor people flow by tracking various devices such as mobile phones and IC tickets, it is quite incomplete because some privacy and integration issues still remain.
To identify massive people flow from fragmentary observed data, we solve large-scale multi-target tracking problem by integer programming approach.
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| Free Research Field |
組合せ最適化
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