Video-Based Person Re-identification by 3D Convolutional Neural Networks and Improved Parameter Learning

Naoki Kato, Kohei Hakozaki, Masamoto Tanabiki, Junko Furuyama, Yuji Sato, Yoshimitsu Aoki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper we propose a novel approach for video-based person re-identification that exploits convolutional neural networks to learn the similarity of persons observed from video camera. We take 3-dimensional convolutional neural networks (3D CNN) to extract fine-grained spatiotemporal features from the video sequence of a person. Unlike recurrent neural networks, 3D CNN preserves the spatial patterns of the input, which works well on re-identification problem. The network maps each video sequence of a person to a Euclidean space where distances between feature embeddings directly correspond to measures of person similarity. By our improved parameter learning method called entire triplet loss, all possible triplets in the mini-batch are taken into account to update network parameters. This parameter updating method significantly improves training, enabling the embeddings to be more discriminative. Experimental results show that our model achieves new state of the art identification rate on iLIDS-VID dataset and PRID-2011 dataset with 82.0%, 83.3% at rank 1, respectively.

本文言語English
ホスト出版物のタイトルImage Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings
編集者Bart ter Haar Romeny, Fakhri Karray, Aurelio Campilho
出版社Springer Verlag
ページ153-163
ページ数11
ISBN(印刷版)9783319929996
DOI
出版ステータスPublished - 2018
イベント15th International Conference on Image Analysis and Recognition, ICIAR 2018 - Povoa de Varzim, Portugal
継続期間: 2018 6 272018 6 29

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10882 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other15th International Conference on Image Analysis and Recognition, ICIAR 2018
国/地域Portugal
CityPovoa de Varzim
Period18/6/2718/6/29

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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