Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/135357
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Developing automated methods to detect and match face and voice biometrics in child sexual abuse videos |
Author: | Westlake, B. Brewer, R. Swearingen, T. Ross, A. Patterson, S. Michalski, D. Hole, M. Logos, K. Frank, R. Bright, D. Afana, E. |
Citation: | Trends and Issues in Crime and Criminal Justice, 2022; 648(648):1-15 |
Publisher: | Australian Institute of Criminology |
Issue Date: | 2022 |
ISBN: | 9781922478566 |
ISSN: | 0817-8542 1836-2206 |
Statement of Responsibility: | Bryce Westlake, Russell Brewer, Thomas Swearingen, Arun Ross, Stephen Patterson, Dana Michalski, Martyn Hole, Katie Logos, Richard Frank, David Bright and Erin Afana |
Abstract: | The proliferation of child sexual abuse material (CSAM) is outpacing law enforcement’s ability to address the problem. In response, investigators are increasingly integrating automated software tools into their investigations. These tools can detect or locate files containing CSAM, and extract information contained within these files to identify both victims and offenders. Software tools using biometric systems have shown promise in this area but are limited in their utility due to a reliance on a single biometric cue (namely, the face). This research seeks to improve current investigative practices by developing a software prototype that uses both faces and voices to match victims and offenders across CSAM videos. This paper describes the development of this prototype and the results of a performance test conducted on a database of CSAM. Future directions for this research are also discussed. |
Rights: | © Australian Institute of Criminology 2022. The Australian Institute of Criminology encourages the use of information published on this website. The Commonwealth of Australia owns the copyright in all material produced by the Australian Institute of Criminology. All the material on this website is provided under the latest Creation Commons Attribution licence |
DOI: | 10.52922/ti78566 |
Published version: | https://www.aic.gov.au/publications/tandi/tandi648 |
Appears in Collections: | Gender Studies and Social Analysis publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_135357.pdf | Published version | 676.87 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.