TY  - JOUR
PY  - 2014//
TI  - A vehicle detection algorithm based on deep belief network
JO  - ScientificWorldJournal
A1  - Wang, Hai
A1  - Cai, Yingfeng
A1  - Chen, Long
SP  - e647380
EP  - e647380
VL  - 2014
IS  - 
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2356-6140
UR  - http://dx.doi.org/10.1155/2014/647380
ID  - ref1
ER  -