Ms. Wenjun Lian Profile

Wenjun Lian

at North Information Control Research Academy Group

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Proceedings Article | 31 January 2020 Paper

Research on intelligent target recognition method based on pattern recognition and deep learning

Guosheng Chen, Wenjun Lian, Fudong Hu, Zuchao Bao, Ruxiang Li, Hang Ling, Jitao Zhong

Proceedings Volume 11427, 114270Y (2020) https://doi.org/10.1117/12.2550783

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To meet the requirements of automation and intelligence of the vehicle-sighting system, the paper gives an overview of two widely-used target recognition algorithms, including pattern recognition and deep learning. Four typical algorithms, HOG-cascading-Adaboost algorithm and surf combining SVM algorithm, which belong to pattern recognition, CNN network and YOLOv3 network, which belong to deep learning, are elaborated in detail. Different algorithms are used to identify images in the same test set in the experiment, and the performance of each algorithm is compared from three aspects, recognition rate, recall rate and recognition time. Finally, it can be concluded that YOLOv3 algorithm is better for target recognition when concerning the recognition rate and recall rate, with the recognition rate as high as 95.8% and fewer targets missed. Considering the real-time effect, the pattern recognition algorithm has less recognition time but the recognition rate reduces. Therefore, the recognition time and recognition rate should have a compromise in practical application.

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