Research on heat map generation of passenger flow distribution in subway station based on binocular vision

Zhenming Jiang; Haowen Xiao; Yu Wang; Luyao Han

doi:10.1117/12.3004790

9 October 2023 Research on heat map generation of passenger flow distribution in subway station based on binocular vision

Zhenming Jiang, Haowen Xiao, Yu Wang, Luyao Han

Author Affiliations +

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127911P (2023) https://doi.org/10.1117/12.3004790
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

Monitoring passenger flow distribution in real-time in subway stations plays a key role in large passenger flow control and intelligent passenger flow management. A binocular vision based method for generating heat map of passenger flow distribution in subway stations is proposed in this work, based on the extraction and analysis of the monitoring video images in subway stations. Firstly, the binocular camera is used to collect the depth information of the passenger flow in the subway station. Secondly, a Yolov5-based pedestrian detection algorithm is applied to obtain the passenger flow information and coordinate positions from the image data. Then after coordinate conversion, the actual position information of passengers is obtained. Finally, based on passenger location coordinates, the heat map of passenger flow density can be generated to monitor passenger flow in real-time. The experimental results show that the average accuracy of passenger detection is 95%, which is 2.1% higher than before the improvement. ing the passenger’s coordinates in the camera coordinate system to the actual coordinates, the resulting error at 5m, 10m, and 15m is 0.4m, 0.9m, and 1.3m, respectively. and the presentation of the heatmap is consistent with the actual situation. The research results are applicable to real-time passenger flow monitoring and statistics in subway systems, enabling operators to have a real-time understanding of passenger flow distribution and timely guidance, and have certain application prospects.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenming Jiang, Haowen Xiao, Yu Wang, and Luyao Han "Research on heat map generation of passenger flow distribution in subway station based on binocular vision", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127911P (9 October 2023); https://doi.org/10.1117/12.3004790

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Cameras

Object detection

Imaging systems

Detection and tracking algorithms

Temperature distribution

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