Vehicle Image Recognition Using Deep Convolution Neural Network and Compressed Dictionary Learning


Yanyan Zhou, Journal of Information Processing Systems Vol. 17, No. 2, pp. 411-425, Apr. 2021  

https://doi.org/10.3745/JIPS.01.0073
Keywords: Adaptive Fusion, Compressed Dictionary Learning, Deep Convolutional Neural Network, High-Dimensional Features, Vehicle Type Recognition
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Abstract

In this paper, a vehicle recognition algorithm based on deep convolutional neural network and compression dictionary is proposed. Firstly, the network structure of fine vehicle recognition based on convolutional neural network is introduced. Then, a vehicle recognition system based on multi-scale pyramid convolutional neural network is constructed. The contribution of different networks to the recognition results is adjusted by the adaptive fusion method that adjusts the network according to the recognition accuracy of a single network. The proportion of output in the network output of the entire multiscale network. Then, the compressed dictionary learning and the data dimension reduction are carried out using the effective block structure method combined with very sparse random projection matrix, which solves the computational complexity caused by highdimensional features and shortens the dictionary learning time. Finally, the sparse representation classification method is used to realize vehicle type recognition. The experimental results show that the detection effect of the proposed algorithm is stable in sunny, cloudy and rainy weather, and it has strong adaptability to typical application scenarios such as occlusion and blurring, with an average recognition rate of more than 95%.


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Cite this article
[APA Style]
Zhou, Y. (2021). Vehicle Image Recognition Using Deep Convolution Neural Network and Compressed Dictionary Learning. Journal of Information Processing Systems, 17(2), 411-425. DOI: 10.3745/JIPS.01.0073.

[IEEE Style]
Y. Zhou, "Vehicle Image Recognition Using Deep Convolution Neural Network and Compressed Dictionary Learning," Journal of Information Processing Systems, vol. 17, no. 2, pp. 411-425, 2021. DOI: 10.3745/JIPS.01.0073.

[ACM Style]
Yanyan Zhou. 2021. Vehicle Image Recognition Using Deep Convolution Neural Network and Compressed Dictionary Learning. Journal of Information Processing Systems, 17, 2, (2021), 411-425. DOI: 10.3745/JIPS.01.0073.