Spatial Attention Mechanism for Weakly Supervised Fire and Traffic Accident Scene Classification

During the past ten years, on average there were nearly 16.5 thousands of hazardous material (hazmat) transport incidents per year resulting in $82 millions of damages. Prompt, accurate, objective assessment on hazmat incidents is important for the first-responders to take appropriate actions timely, which will reduce the damage of hazmat incidents and protect the safety of people and the environment. This multi-phase project aims to develop a method of processing and analyzing images captured by the crowdsourcing at incident scenes, which can aid the first-responders for hazmat incident assessment, decision-making, and reporting. The outcome of the project will be a component of a smart safety enhancement system that improves the responsiveness and effectiveness of emergency responders and hospitals in dealing with hazardous material transportation incidents.

• Record URL:
  http://matc.unl.edu/research/research_project.php?researchID=527

Language

• English

Project

• Status: Completed
• Funding: $120000
• Contract Numbers:

  69A3551747107

• Sponsor Organizations:

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Mid-America Transportation Center

  University of Nebraska-Lincoln
  2200 Vine Street, PO Box 830851
  Lincoln, NE  United States  68583-0851
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Principal Investigators:

  Yin, Zhaozheng

• Start Date: 20170801
• Expected Completion Date: 20190630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers
• Source Data: RiP Project 91994-14

Subject/Index Terms

• TRT Terms: Crowdsourcing; Hazardous materials; Image analysis; Image processing; Traffic incidents
• Subject Areas: Data and Information Technology; Security and Emergencies; Transportation (General);

Filing Info

• Accession Number: 01660010
• Record Type: Research project
• Source Agency: Mid-America Transportation Center
• Contract Numbers: 69A3551747107
• Files: UTC, RIP
• Created Date: Feb 13 2018 2:54PM