Photographer trajectory detection from images.

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Bibliographic Details
Title: Photographer trajectory detection from images.
Authors: Fan, Linwei1,2, fanlinwei2005@gmail.com, Li, Huiyu1,2, Li, Mengjun3, Zhang, Yan2,4, Li, Jinjiang2,4, Zhang, Caiming1,2
Source: Personal & Ubiquitous Computing; Oct2018, Vol. 22 Issue 5/6, p1005-1015, 11p, 7 Color Photographs, 2 Diagrams
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 132461033
AccessLevel: 2
PubType: Academic Journal
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  Data: Photographer trajectory detection from images.
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  Data: <searchLink fieldCode="AU" term="%22Fan%2C+Linwei%22">Fan, Linwei</searchLink><relatesTo>1,2</relatesTo>, <i>fanlinwei2005@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Huiyu%22">Li, Huiyu</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Mengjun%22">Li, Mengjun</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Yan%22">Zhang, Yan</searchLink><relatesTo>2,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Jinjiang%22">Li, Jinjiang</searchLink><relatesTo>2,4</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Caiming%22">Zhang, Caiming</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Personal+%26+Ubiquitous+Computing%22">Personal & Ubiquitous Computing</searchLink>; Oct2018, Vol. 22 Issue 5/6, p1005-1015, 11p, 7 Color Photographs, 2 Diagrams
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=132461033
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      – Type: doi
        Value: 10.1007/s00779-018-1150-5
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1005
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      – TitleFull: Photographer trajectory detection from images.
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            NameFull: Fan, Linwei
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            NameFull: Li, Huiyu
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            NameFull: Li, Mengjun
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            NameFull: Zhang, Yan
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            NameFull: Li, Jinjiang
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            NameFull: Zhang, Caiming
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            – D: 01
              M: 10
              Text: Oct2018
              Type: published
              Y: 2018
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              Value: 16174909
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              Value: 22
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              Value: 5/6
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