A Study of Feature Combination for Vehicle Detection Based on Image Processing
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Video analytics play a critical role in most recent traffic monitoring and driver assistance systems.
In this context, the correct detection and classification of surrounding vehicles through image analysis has been the focus of extensive research in the last years.
Most of the pieces of work reported for image-based vehicle verification make use of supervised classification approaches and resort to techniques, such as histograms of oriented gradients (HOG), principal component analysis (PCA), and Gabor filters, among others.
Unfortunately, existing approaches are lacking in two respects: first, comparison between methods using a common body of work has not been addressed; second, no study of the combination potentiality of popular features for vehicle classification has been reported.
In this study the performance of the different techniques is first reviewed and compared using a common public database.
Then, the combination capabilities of these techniques are explored and a methodology is presented for the fusion of classifiers built upon them, taking into account also the vehicle pose.
The study unveils the limitations of single-feature based classification and makes clear that fusion of classifiers is highly beneficial for vehicle verification.
American Psychological Association (APA)
Arróspide, Jon& Salgado, Luis. 2014. A Study of Feature Combination for Vehicle Detection Based on Image Processing. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1048695
Modern Language Association (MLA)
Arróspide, Jon& Salgado, Luis. A Study of Feature Combination for Vehicle Detection Based on Image Processing. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1048695
American Medical Association (AMA)
Arróspide, Jon& Salgado, Luis. A Study of Feature Combination for Vehicle Detection Based on Image Processing. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1048695
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048695