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                            Library & Multimedia
 TraffickCam: Explainable Image Matching For Sex Trafficking Investigations
NCJ Number
              254596

Author(s)
          Abby Stylianou;
                        Richard Souvenir;
                        Robert Pless
Date Published

2019
Length
              4 pages
Annotation
              Since current machine-learning approaches give promising results in image searches to find a matching place in a photograph, the current study examines approaches to make this end-to-end system better support government and law enforcement requirements.
Abstract
              This study has relevance to sex trafficking investigations that sometimes have access to photographs of victims in hotel rooms. These images directly link such victims to places which can assist in verifying where victims have been trafficked or where traffickers might operate in the future. The procedure described in this article improves performance, visualization approaches that explain what parts of the image led to a match, and infrastructure that supports exporting the results of a query. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2018-75-CX-0038


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Description


  
  
        
  Award
        An Object-Centric Approach for Image Analysis to Combat Human Trafficking
    
  
  
Date Published: January 1, 2019
    
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