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

Xin Gao; Sundaresh Ram; Jeffrey J. Rodriguez

doi:10.1109/SSIAI.2016.7459191

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 proceeding › Conference contribution

8 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 language	English (US)
Title of host publication	2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	125-128
Number of pages	4
ISBN (Electronic)	9781467399197
DOIs	https://doi.org/10.1109/SSIAI.2016.7459191
State	Published - Apr 25 2016
Event	IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Santa Fe, United States Duration: Mar 6 2016 → Mar 8 2016

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume	2016-April

Other

Other	IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016
Country/Territory	United States
City	Santa Fe
Period	3/6/16 → 3/8/16

Keywords

Object detection
wide-area aerial imagery

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/SSIAI.2016.7459191

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). Article 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

A performance comparison of automatic detection schemes in wide-area aerial imagery. / Gao, Xin; Ram, Sundaresh; Rodriguez, Jeffrey J.
2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 125-128 7459191 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2016-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gao, X, Ram, S & Rodriguez, JJ 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., 7459191, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, vol. 2016-April, Institute of Electrical and Electronics Engineers Inc., pp. 125-128, IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016, Santa Fe, United States, 3/6/16. https://doi.org/10.1109/SSIAI.2016.7459191

Gao X, Ram S, Rodriguez JJ. 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 125-128. 7459191. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). doi: 10.1109/SSIAI.2016.7459191

Gao, Xin ; Ram, Sundaresh ; Rodriguez, Jeffrey J. / A performance comparison of automatic detection schemes in wide-area aerial imagery. 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 125-128 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

@inproceedings{ad7f0a6b0542479d8505168d4c642ed6,

title = "A performance comparison of automatic detection schemes in wide-area aerial imagery",

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.",

keywords = "Object detection, wide-area aerial imagery",

author = "Xin Gao and Sundaresh Ram and Rodriguez, {Jeffrey J.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 ; Conference date: 06-03-2016 Through 08-03-2016",

year = "2016",

month = apr,

day = "25",

doi = "10.1109/SSIAI.2016.7459191",

language = "English (US)",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "125--128",

booktitle = "2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings",

}

TY - GEN

T1 - A performance comparison of automatic detection schemes in wide-area aerial imagery

AU - Gao, Xin

AU - Ram, Sundaresh

AU - Rodriguez, Jeffrey J.

PY - 2016/4/25

Y1 - 2016/4/25

N2 - 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.

AB - 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.

KW - Object detection

KW - wide-area aerial imagery

UR - http://www.scopus.com/inward/record.url?scp=84971221404&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84971221404&partnerID=8YFLogxK

U2 - 10.1109/SSIAI.2016.7459191

DO - 10.1109/SSIAI.2016.7459191

M3 - Conference contribution

AN - SCOPUS:84971221404

T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

SP - 125

EP - 128

BT - 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016

Y2 - 6 March 2016 through 8 March 2016

ER -

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this