@inproceedings{d8267cf8db3548d59224326fe2cdf803,
title = "Multi-layer feature histogram with correlative degree for cross-camera-based person re-identification",
abstract = "Person re-identification via cross-camera is a difficult problem in the field of target discovery and tracking. Traditional solutions depending on the characteristics of a target's appearance have low reliability and can easily lead to low matching rate because they use simple metric functions. This work proposes a more reliable measurement: correlative degree of a target's features among different camera views to do person re-identification and uses it to measure the histograms' similarity of targets. In order to obtain more discriminative features, we need to extract their appearance and space features. We use multi-layer histograms to describe them. In order to compute more accurate correlation degree, we propose to use Gaussian pyramid as alternating distance to define high-dimensional diffusion distance. Finally, we assign different weights to feature vectors so as to establish the correlative degree function based on diffusion distance. Experiments of person re-identification for different cameras show that the proposed method can achieve much better results than some known existing methods.",
keywords = "Correlative degree, Diffusion distance, Multi-layer histogram, Person re-identification",
author = "Hua Han and Mengchu Zhou and Xiaoyu Lu and Yujin Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 ; Conference date: 05-10-2017 Through 08-10-2017",
year = "2017",
month = nov,
day = "27",
doi = "10.1109/SMC.2017.8122796",
language = "English (US)",
series = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1322--1327",
booktitle = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017",
address = "United States",
}