Abstract
Tackling child trafficking requires a multi-pronged approach from government and non-government organizations as well as individuals. In this paper, we introduce Zhongxun, a crowdsourcing platform for finding missing children that have been potentially trafficked. Users submit photos of children whom they suspect may be victims of trafficking. Zhongxun uses a facial recognition algorithm to match the submission against its database of photos missing children and returns those that are similar for followup action. Users may also provide feedback on the matches to improve the facial recognition algortihm. Zhongxun is a live system and is currently being used in China.
| Original language | English |
|---|---|
| Pages (from-to) | 811-812 |
| Number of pages | 2 |
| Journal | Proceedings of the Association for Information Science and Technology |
| Volume | 55 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:Copyright © 2018 by Association for Information Science and Technology
ASJC Scopus Subject Areas
- General Computer Science
- Library and Information Sciences
Keywords
- Child trafficking
- crowdsourcing
- facial recognition
- machine learning
- social media