Presentation 2014-03-13
Person Retrieval System for Surveillance Video Analysis using Multi-Perspective Features
Yuki WATANABE, Daisuke MATSUBARA, Kenichi YONEJI, Tomoaki YOSHINAGA, Nobuo NUKAGA, Atsushi HIROIKE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We developed a person retrieval system for surveillance video analysis, which can search target person using multi-perspective image features. The system extracts features from many parts of person (face, head, body, etc.), and associates them by motion tracking. Users can select multi-features of target person as a query, and search using integrated similarity. The experimental result by surveillance videos which contain 21 people / 385 scenes, shows that our system can improve rank-39 recall from 0.279 (facial feature only) to 0.547.
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Keyword(in English) content-based image retrieval / person retrieval / surveillance video analysis
Paper # PRMU2013-172
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Committee PRMU
Conference Date 2014/3/6(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Person Retrieval System for Surveillance Video Analysis using Multi-Perspective Features
Sub Title (in English)
Keyword(1) content-based image retrieval
Keyword(2) person retrieval
Keyword(3) surveillance video analysis
1st Author's Name Yuki WATANABE
1st Author's Affiliation The Central Research Laboratory, Hitachi Ltd.()
2nd Author's Name Daisuke MATSUBARA
2nd Author's Affiliation The Central Research Laboratory, Hitachi Ltd.
3rd Author's Name Kenichi YONEJI
3rd Author's Affiliation The Central Research Laboratory, Hitachi Ltd.
4th Author's Name Tomoaki YOSHINAGA
4th Author's Affiliation The Central Research Laboratory, Hitachi Ltd.
5th Author's Name Nobuo NUKAGA
5th Author's Affiliation The Central Research Laboratory, Hitachi Ltd.
6th Author's Name Atsushi HIROIKE
6th Author's Affiliation The Central Research Laboratory, Hitachi Ltd.
Date 2014-03-13
Paper # PRMU2013-172
Volume (vol) vol.113
Number (no) 493
Page pp.pp.-
#Pages 6
Date of Issue