Person re-identification visualization tool for object tracking across non-overlapping cameras

Etienne Pot, Maiya Hori, Atsushi Shimada, Hajime Nagahara, Rin Ichiro Taniguchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

In this paper, we present a visualization tool for person re-identification when tracking objects across non-overlapping cameras. Tracking objects across non-overlapping cameras is challenging because the observations from different cameras are widely separated in both time and space. Hence, these systems need a large amount of labeled training data. Commonly, this training data is constructed manually at significant human cost. We support this process efficiently by visualizing the correspondences of objects across multiple cameras. Our tool facilitates the construction of a database for person re-identification with ease. Moreover, the accuracy of person re-identification can be increased using the generated database because the amount of training data is increased. In the experiments, we apply the proposed tool to real world situations to verify the validity of the proposed system.

本文言語英語
ホスト出版物のタイトルAVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781467376327
DOI
出版ステータス出版済み - 10 19 2015
イベント12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015 - Karlsruhe, ドイツ
継続期間: 8 25 20158 28 2015

出版物シリーズ

名前AVSS 2015 - 12th IEEE International Conference on Advanced Video and Signal Based Surveillance

その他

その他12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015
Countryドイツ
CityKarlsruhe
Period8/25/158/28/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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