A Vehicle Detection Algorithm Based on Deep Belief Network
Joint Authors
Wang, Hai
Cai, Yingfeng
Chen, Long
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Vision based vehicle detection is a critical technology that plays an important role in not only vehicle active safety but also road video surveillance application.
Traditional shallow model based vehicle detection algorithm still cannot meet the requirement of accurate vehicle detection in these applications.
In this work, a novel deep learning based vehicle detection algorithm with 2D deep belief network (2D-DBN) is proposed.
In the algorithm, the proposed 2D-DBN architecture uses second-order planes instead of first-order vector as input and uses bilinear projection for retaining discriminative information so as to determine the size of the deep architecture which enhances the success rate of vehicle detection.
On-road experimental results demonstrate that the algorithm performs better than state-of-the-art vehicle detection algorithm in testing data sets.
American Psychological Association (APA)
Wang, Hai& Cai, Yingfeng& Chen, Long. 2014. A Vehicle Detection Algorithm Based on Deep Belief Network. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050489
Modern Language Association (MLA)
Wang, Hai…[et al.]. A Vehicle Detection Algorithm Based on Deep Belief Network. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050489
American Medical Association (AMA)
Wang, Hai& Cai, Yingfeng& Chen, Long. A Vehicle Detection Algorithm Based on Deep Belief Network. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050489
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050489