A performance comparison of automatic detection schemes in wide-area aerial imagery

Xin Gao, Sundaresh Ram, Jeffrey J. Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Accurate and efficient detection of vehicles in wide-area aerial imagery is a fundamental task in understanding the automobile traffic patterns in an urban environment so as to help regulate the traffic flow. Vehicles with varying shapes and sizes, background clutter, occlusion, low-resolution and noise in the acquired images make the automatic detection of vehicles a challenging task. We present the performance analysis of six object detection algorithms for moving vehicle detection in low-resolution aerial image sequences. We compare the automatic detection results with manual detection, and evaluate the performance of the six object detection algorithms via several metrics.

Original languageEnglish (US)
Title of host publication2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages125-128
Number of pages4
ISBN (Electronic)9781467399197
DOIs
StatePublished - Apr 25 2016
EventIEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Santa Fe, United States
Duration: Mar 6 2016Mar 8 2016

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2016-April

Other

OtherIEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016
CountryUnited States
CitySanta Fe
Period3/6/163/8/16

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Keywords

  • Object detection
  • wide-area aerial imagery

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Gao, X., Ram, S., & Rodriguez, J. J. (2016). A performance comparison of automatic detection schemes in wide-area aerial imagery. In 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings (pp. 125-128). [7459191] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2016-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI.2016.7459191