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                            Library & Multimedia
 Practitioner Centric Video Analytics, Final Summary Overview
NCJ Number
              250272

Author(s)
          Ming-Ching Chang;
                        Jixu Chen;
                        Siwei Lyu;
                        Peter Tu
Date Published

October 2015
Length
              17 pages
Annotation
              Using practitioner feedback as input, this project sought to develop three new video analytics technologies: 3D video representation and event summarization front-end;  one-shot learning for action recognition; and person-specific face recognition.
Abstract
              Three-dimensional video representation and event summarization front-end allows users to observe view-independent 3D event summarizations with highlights and greater contextual support.  One-shot learning for action recognition enables recognition of novel events by using a single user-provided example.  One-shot learning for action recognition enables recognition of novel events using a single user-provided example.  Person-specific face recognition makes it possible to search against a face catalog by specifying certain distinguishing facial features, such as visible scars and hair styles.   The achievement of this research agenda and insights gained from interaction with the practitioner community provide a new form of "recognition at a glance," allowing for greater understanding of complex multi-camera imagery.  With one-shot learning for action recognition, analytics engines will be able to detect new types of behaviors with a  single example.  The surveillance systems of the future will be able to keep pace with the evolving demands on law enforcement.  Also, by considering person-specific physical cues, it will be possible to  increase the detection of persons of interest.  Scholarly products and in-process documents of this project are listed.  3  figures and appended                                                             supplementary project details
      
  
          Additional Details
Grant Number(s)
        2013-IJ-CX-K010


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Grants and Funding


  
  
        
  Award
        Practitioner Centric Video Analytics
    
  
  
Date Published: October 1, 2015
    
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