Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 5; p. 982
• Main Authors: Lee, Hyo Jong, Ullah, Ihsan, Wan, Weiguo, Gao, Yongbin, Fang, Zhijun
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI 26.02.2019; MDPI AG
• Subjects: deep learning; residual SqueezeNet; vehicle make recognition; deep learning; residual SqueezeNet; vehicle make recognition

Make and model recognition (MMR) of vehicles plays an important role in automatic vision-based systems. This paper proposes a novel deep learning approach for MMR using the SqueezeNet architecture. The frontal views of vehicle images are first extracted and fed into a deep network for training and t...