Author(s)

Hongqing Feng ¹, Zundong Zhang ¹

Affiliation(s)

¹ North China University of Technology, Beijing, China

Corresponding Author

Hongqing Feng

ABSTRACT

In some developed countries, passenger counter has become the standard product of rail transit industry. This product has irreplaceable significance for the statistics of rail transit passenger flow, and clear passenger flow data is the data basis for rail transit intelligent operation and efficient management. Therefore, based on the hardware foundation of TOF fisheye camera, we built an environment simulating subway door in the laboratory, trained mobilenet SSD target detection model with convolutional neural network framework Caffe, and realized reasoning with sort multi-target tracking algorithm. Finally, through experimental test, the recognition accuracy is as high as 98%, which can be directly put into market after transplantation.

KEYWORDS

TOF Camera, Subway Passenger Counter, SORT, MobileNet-SSD

CITE THIS PAPER

Hongqing Feng, Zundong Zhang, Rail Transit Passenger Counter based on TOF. Journal of Artificial Intelligence Practice (2022) Vol. 5: 1-11. DOI: http://dx.doi.org/10.23977/jaip.2022.050201.

REFERENCES

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