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Performance analysis of a simple vehicle detection algorithm

delete2002-01-01
delete104
PRE
AI
H
Heewon Moon *
R
R. Chellappa
A
Azriel Rosenfeld
DOI：10.1016/S0262-8856(01)00059-2delete
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Abstract

Abstract

En 中文
We have performed an end-to-end analysis of a simple model-based vehicle detection algorithm for aerial parking lot images. We constructed a vehicle detection operator by combining four elongated edge operators designed to collect edge responses from the sides of a vehicle. We derived the detection and localization performance of this algorithm, and verified them by experiments. Performance degradation due to different camera angles and illuminations was also examined using simulated images. Another important aspect of performance characterization - whether and how much prior information about the scene improves performance - was also investigated. As a statistical diagnostic tool for the detection performance, a computational approach employing bootstrap was used. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
performance analysis
vehicle detection
aerial image
bootstrap
empirical evaluation
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Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

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