Title
Transfer learning for vehicle detection using two cameras with different focal lengths.
Abstract
•A transfer learning based vehicle detection method is proposed for two cameras with different focal lengths and effectively solves tiny object size problems.•REAL is introduced to compute relationship between two cameras effectively.•Vehicle datasets using cameras with different focal lengths were captured and labeled to evaluate vehicle detection methods. Experimental results show the proposed vehicle detection method significantly outperforms baseline methods.
Year
DOI
Venue
2020
10.1016/j.ins.2019.11.034
Information Sciences
Keywords
Field
DocType
Transfer learning,Object detection,Different focal lengths
Computer vision,Evolutionary algorithm,Convolutional neural network,Convolution,Transfer of learning,Vehicle detection,Focal length,Artificial intelligence,Detector,Mathematics,Machine learning,Binary number
Journal
Volume
ISSN
Citations 
514
0020-0255
1
PageRank 
References 
Authors
0.35
0
5
Name
Order
Citations
PageRank
Vinh Quang Dinh110.35
Farzeen Munir273.77
Shoaib Azam311.37
Kin Choong Yow426462.38
Moongu Jeon545672.81