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Trajectory Mining Database and Evaluation v1.0

Due to the limited field of view of a single camera, multiple cameras are needed to construct a camera network covering a range of areas to maintain the public security. Exploring the association of the information of each video can make full use of the captured videos as well as gain more additional information. Under practical application circumstance, users often want to know the leaving route of subjects or the places they have stayed. Therefore, we propose a concept called trajectory mining which describes the transition of pedestrian among cameras from a macroscopic perspective. We collect a database called TMin to promote research and development of trajectory mining. This release of Version 1 contains 1680 images from 30 subjects, all the images are extracted from 6 surveillance videos over two hours, and each subject appears in at least two different cameras. Based on this database, we develop a benchmark protocol for evaluating the performance of the baseline method proposed in this paper. From the baseline performance, we observe that the trajectory mining problem is still largely unresolved, thus further attention and effort is needed.

We provide the TMin v1.0 database and baseline features to further advance research in this field. For more information, please read our paper [1].

Download Instructions:
To apply for the database, please follow the steps below:

  1. Download and print the document Agreement for using TMin v1.0 database
  2. Sign the agreement
  3. Send the agreement to cbsr-request@authenmetric.com
  4. Check your email to find a login account and a password of our website after one day, if your application has been approved.
  5. Download the TMin v1.0 database from our website with the authorized account within 48 hours.

Copyright Note and Contacts:
The database is released for research and educational purposes. We hold no liability for any undesirable consequences of using the database. All rights of the TMin v1.0 database are reserved. Any person or organization is not permitted to distribute, publish, copy, or disseminate this database.

Publications:
[1] Yang Hu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li, ^Multi-Camera Trajectory Mining: Database and Evaluation ̄ International Conference on Pattern Recognition (ICPR), pages 4684-4689, 24-28 Aug. 2014

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