Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Higher-order-statistics-based detection of vehicles in still images

Not Accessible

Your library or personal account may give you access

Abstract

We present a statistical pattern recognition scheme for detecting vehicles in still images. The methodology involves pattern classification using higher-order statistics (HOS) in a clustering framework. The proposed method approximately models the unknown distribution of the image patterns of vehicles by learning HOS information about the vehicle class from sample images. Given a test image, statistical information about the background is learned “on the fly.” An HOS-based decision measure derived from a series expansion of the multivariate probability density function in terms of the Gaussian function and Hermite polynomials is used to classify test patterns as vehicles or otherwise. Experimental results on real images with cluttered background are given to demonstrate the performance of the proposed method. When tested on real aerial images, the method gives good results, even for complicated scenes. The detection rate is found to be quite good, while the false alarms are very few. The method can serve as an important step toward building an automated traffic monitoring system.

© 2001 Optical Society of America

Full Article  |  PDF Article
More Like This
Long-wave infrared polarimetric cluster-based vehicle detection

Christopher N. Dickson, Andrew M. Wallace, Matthew Kitchin, and Barry Connor
J. Opt. Soc. Am. A 32(12) 2307-2315 (2015)

Image recognition in the presence of non-Gaussian noise with unknown statistics

Nasser Towghi and Bahram Javidi
J. Opt. Soc. Am. A 18(11) 2744-2753 (2001)

Noise-insensitive image optimal flow estimation using higher-order statistics

El Mehdi Ismaili Alaoui, Elhassane Ibn-elhaj, and El Houssaine Bouyakhf
J. Opt. Soc. Am. A 26(5) 1212-1220 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (63)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved