@inproceedings{32910f056d0e41a89b54e36dbabd4b38,
title = "Personal re-identification using rank-based manifold ranking",
abstract = "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.",
keywords = "manifold ranking, order-based metric, person re-identification, video surveillance",
author = "Hsieh, {Cheng Ta} and Fan, {Kuo Chin} and Han, {Chin Chun}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015 ; Conference date: 21-09-2015 Through 24-09-2015",
year = "2016",
month = jan,
day = "21",
doi = "10.1109/CCST.2015.7389716",
language = "???core.languages.en_GB???",
series = "Proceedings - International Carnahan Conference on Security Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "391--394",
booktitle = "ICCST 2015 - The 49th Annual IEEE International Carnahan Conference on Security Technology",
}