The PKU HumanDI dataset is constructed by National Engineering Laboratory for Video Technology (NELVT), Peking University, sponsored by the National Basic Research Program of China and Chinese National Natural Science Foundation.
This dataset is composed of videos subjects crossing 11 cameras in a campus. It includes 6 high definition network cameras (Camera HD01, Camera HD02, Camera HD03, Camera HD04, Camera HD05, Camera HD06) and 7 normal network cameras (Camera BWBQ, Camera DCM, Camera WMHD, Camera XDMN, Camera YGLN, Camera YGLQ, Camera YTX). Some samples of the labeled results are shown below:
HD Cameras (HD 01, HD 02, HD 04, HD 06)
Normal Cameras (WMHD, DCM, YTX, YGLN)
The PKU HumanID dataset is now partly made available for the academic purpose only on a case-by-case basis. The NELVT at Peking University is serving as the technical agent for distribution of the dataset and reserves the copyright of all the videos in the dataset. Any researcher who requests the PKU HumanID dataset must sign this agreement and thereby agrees to observe the restrictions listed in this document.
- The videos and the corresponding annotation results for download are part of PKU HumanID.
- The videos and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
- Copyright © National Engineering Laboratory for Video Technology (NELVT) and Institute of Digital Media, Peking University (PKU-IDM). All rights reserved.
All publications using PKU HumanID dataset should cite the paper below:
- Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huan, Swiss-System Based Cascade Ranking for Gait-based Person Re-identification, 29th AAAI Conference on Artificial Intelligence, Austin Texas, USA, January, 2015
You can download the agreement (pdf) by clicking the DOWNLOAD link.
After filling it, please send the electrical version to our Email: email@example.com (Subject: PKU-HumanID-Agreement) and mail/fax the paper version to our lab: Room 2604, Science Building No. 2, Peking University, No.5 Yiheyuan Road, Haidian District, Beijing, P.R.China (fax: +86-10-62751638).
After confirming your information, we will send the download link and password to you via Email. You need to follow the agreement.