Real-Time Traffic End-of-Queue Detection and Tracking in UAV Video
- URL: http://arxiv.org/abs/2302.01923v2
- Date: Tue, 31 Oct 2023 20:07:16 GMT
- Title: Real-Time Traffic End-of-Queue Detection and Tracking in UAV Video
- Authors: Russ Messenger, Md Zobaer Islam, Matthew Whitlock, Erik Spong, Nate
Morton, Layne Claggett, Chris Matthews, Jordan Fox, Leland Palmer, Dane C.
Johnson, John F. O'Hara, Christopher J. Crick, Jamey D. Jacob, Sabit Ekin
- Abstract summary: This study presents a proof of concept for detecting End-of-Queue (EOQ) of traffic by processing the real-time video footage of a highway work zone captured by UAV.
The method can be applied to detect EOQ of vehicles and notify drivers in any other roads or intersections too where vehicles are rapidly accumulating due to special events, traffic jams, construction, or accidents.
- Score: 0.13525723298325706
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Highway work zones are susceptible to undue accumulation of motorized
vehicles which calls for dynamic work zone warning signs to prevent accidents.
The work zone signs are placed according to the location of the end-of-queue of
vehicles which usually changes rapidly. The detection of moving objects in
video captured by Unmanned Aerial Vehicles (UAV) has been extensively
researched so far, and is used in a wide array of applications including
traffic monitoring. Unlike the fixed traffic cameras, UAVs can be used to
monitor the traffic at work zones in real-time and also in a more
cost-effective way. This study presents a method as a proof of concept for
detecting End-of-Queue (EOQ) of traffic by processing the real-time video
footage of a highway work zone captured by UAV. EOQ is detected in the video by
image processing which includes background subtraction and blob detection
methods. This dynamic localization of EOQ of vehicles will enable faster and
more accurate relocation of work zone warning signs for drivers and thus will
reduce work zone fatalities. The method can be applied to detect EOQ of
vehicles and notify drivers in any other roads or intersections too where
vehicles are rapidly accumulating due to special events, traffic jams,
construction, or accidents.
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