Estimation of a road mask to improve vehicle detection and tracking in airborne imagery

Du, Xueyan and Hickman, Mark (2012) Estimation of a road mask to improve vehicle detection and tracking in airborne imagery. Transportation Research Record, 2291: 93-101. doi:10.3141/2291-11

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Author Du, Xueyan
Hickman, Mark
Title Estimation of a road mask to improve vehicle detection and tracking in airborne imagery
Journal name Transportation Research Record   Check publisher's open access policy
ISSN 0361-1981
Publication date 2012-01-01
Year available 2012
Sub-type Article (original research)
DOI 10.3141/2291-11
Open Access Status File (Publisher version)
Issue 2291
Start page 93
End page 101
Total pages 9
Place of publication Washington, DC, United States
Publisher U.S. National Research Council, Transportation Research Board
Language eng
Abstract This research proposes a method to estimate a road mask in airborne imagery to improve vehicle detection and tracking. The road mask can remove false detections and reduce computation time. The road mask was estimated on the basis of smoothed (interpolated) positions of the vehicles tracked by the short-term and long-term trackers in the software tool "tracking and registration of airborne video image sequences" (TRAVIS) in a fixed number of frames (i.e., one cycle). First, raw vehicle positions that were obtained from TRAVIS were smoothed with a Kalman filter. Second, the slope of the roadway was estimated based on the smoothed positions of these vehicles. Third, falsely detected vehicles were removed if the slope of the lines that connected two vehicles in the same lane were close to the slope of the roadway. Finally, the road mask was generated according to the minimal and maximal intercepts of the approximated roadway edges in one cycle. Experimental results showed that the estimation of the road mask was accurate and that the improvement in the correct detection and tracking rate and in the computation time was significant.
Keyword Airborne imagery
Airborne video
Computation time
Detection and tracking
False detections
Fixed numbers
Vehicle detection
Vehicle position
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
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