Personal re-identification using rank-based manifold ranking

Cheng Ta Hsieh, Kuo Chin Fan, Chin Chun Han

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In this paper, a rank-based manifold ranking (MR) algorithm is proposed for personal re-identification. In general cases, L1 norm, L2 norm, or cos production metrics are frequently adopted for distance or similarity calculation with a heat kernel function. However, outliers in the distance-based scheme always impact the identification results even though the number of outliers is few. A rank-based weighting scheme is adopted in the MR algorithm instead of the distance-based metric. A benchmark dataset of video surveillance is evaluated. The experimental results are given to show the feasibility of the proposed method.

原文???core.languages.en_GB???
主出版物標題ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology
發行者Institute of Electrical and Electronics Engineers Inc.
頁面391-394
頁數4
ISBN(電子)9781479986910
DOIs
出版狀態已出版 - 21 1月 2016
事件49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015 - Taipei, Taiwan
持續時間: 21 9月 201524 9月 2015

出版系列

名字Proceedings - International Carnahan Conference on Security Technology
2015-January
ISSN(列印)1071-6572

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???event.eventtypes.event.conference???49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015
國家/地區Taiwan
城市Taipei
期間21/09/1524/09/15

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