Skip to content

BNU-IVC/CCPG

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 

Repository files navigation

The CCPG Benchmark

A Cloth-Changing Benchmark for Person Re-identification and Gait Recognition (CCPG).

Highlights in CCPG

(1) It provides 200 identities, including over 16K sequences captured both indoors and outdoors.

(2) Each identity has seven different cloth-changing statuses, which is a feature not previously seen in other datasets.

(3) The dataset includes RGB, silhouette, and pose data versions, but it is essential to note that it is ACADEMIC USE ONLY.

Examples of CCPG

Silhouette

RGB

Clothes Variation

Download CCPG

To obtain and use this dataset and its subsets, all users are required to complete the following steps:

  1. Download the latest agreement and complete it.
  2. Submit it to [email protected] .
  3. Please use the organization's email address to send the mail.

We will handle your requests within a week. (Occasionally, emails may be flagged as spam. If you haven't received a response within a week, please resend your mail from an alternate email address.)In case you encounter any issues, please feel free to reach out to us via [email protected].

Recommended Code

CCPG dataset is supported by the popular gait recognition project OpenGait. We strongly suggest considering the code available at here as the sample code.

Citation

Please cite the following paper if you find this useful in your research:

@InProceedings{Li_2023_CVPR,
    author    = {Li, Weijia and Hou, Saihui and Zhang, Chunjie and Cao, Chunshui and Liu, Xu and Huang, Yongzhen and Zhao, Yao},
    title     = {An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {13824-13833}
}

Note: This dataset is only used for ACADEMIC PURPOSES, anyone can not use this dataset for anything that might be considered commercial use.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •