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OPTIMUS: Online Persistent Tracking and Identification of Many Users in a Smart Space : 스마트 스페이스에서 다수의 사용자를 지속적으로 추적 및 식별하는 실시간 접근 방법 개발
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Songhwai Oh | - |
dc.contributor.author | 이동훈 | - |
dc.date.accessioned | 2017-07-14T02:51:12Z | - |
dc.date.available | 2017-07-14T02:51:12Z | - |
dc.date.issued | 2013-02 | - |
dc.identifier.other | 000000010471 | - |
dc.identifier.uri | https://hdl.handle.net/10371/122974 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2013. 2. 오성회. | - |
dc.description.abstract | A smart space, which is embedded with networked sensors and smart
devices, can provide various useful services to its users. For the success of a smart space, the problem of tracking and identification of smart space users is of paramount importance. We propose a system called 'Optimus' for persistent tracking and identification of users in a smart space, which is equipped with a camera network. We assume that each user carries a smartphone in a smart space. A camera network is used to solve the problem of tracking multiple users in a smart space. For robust tracking, tracklets are constructed from human detections and then track-level association is used to combine tracklets to build longer trajectories of users. Lastly, accelerometers in smartphones are used to disambiguate identities of trajectories. The performance of the proposed system is evaluated extensively in experiments. | - |
dc.description.tableofcontents | Abstract
Contents List of Tables List of Figures 1. Introduction 2. An overview 3. Multi-person tracking 4. Multi-person identification 5. Experimental results 6. Conclusions | - |
dc.format | application/pdf | - |
dc.format.extent | 15080155 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject.ddc | 621 | - |
dc.title | OPTIMUS: Online Persistent Tracking and Identification of Many Users in a Smart Space | - |
dc.title.alternative | 스마트 스페이스에서 다수의 사용자를 지속적으로 추적 및 식별하는 실시간 접근 방법 개발 | - |
dc.type | Thesis | - |
dc.description.degree | Master | - |
dc.citation.pages | vi, 43 | - |
dc.contributor.affiliation | 공과대학 전기·컴퓨터공학부 | - |
dc.date.awarded | 2013-02 | - |
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