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                            Library & Multimedia
 Machine Vision to Alert Roadside Personnel of Night Traffic Threats
NCJ Number
              254090
Journal

*Ieee Transactions on Intelligent Transportation Systems* Volume: 19 Issue: 10 Dated: 2018 Pages: 3245-3254
Author(s)
          Liang Wang;
                        Berthold K. P. Horn
Date Published

2018
Length
              10 pages
Annotation
              This article describes a machine-vision based alerting system which detects and tracks headlamps of cars in night traffic.
Abstract
              Every year in the United States several people whose job takes them to the sides of roads, are injured or killed by roadside collisions. This could be avoided if a warning signal could be sent to them. The system described in this article automatically computes a "normal traffic" region in the image. Unusual trajectories of cars are detected when the images of their headlamps move out of that region. The system promptly sends a warning signal once a risk has been identified. The system runs on the Android smart phones, which are mounted on cars or on roadside fixtures. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2011-IJ-CX-K016


  
  
        
  Agencies
        NIJ-Sponsored


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


  
  
        
  Award
        Divert and Alert: Mitigating and Warning of Traffic Threats to Police Stopped Along the Roadside
    
  
  
Date Published: January 1, 2018
    
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