Research on Pedestrian Tracking in Urban Rail Transit Stations Based on Adaptive Kalman Filtering

Author:

Li Bo

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Yang, S., Chen, Z., Ma, X., et al.: Real-time high-precision pedestrian tracking: a detection-tracking-correction strategy based on improved SSD and Cascade R-CNN. J. Real-Time Image Proc. 2, 19 (2022)

2. Xu, Y., Chan, H.Y., Chen, A., et al.: Walk this way: Visualizing accessibility and mobility in metro station areas on a 3D pedestrian network. Environ. Plan. B Urban Anal. City Sci. 49(4), 1331–1335 (2022)

3. Xu, X., Li, X., Zhao, H., et al.: A real-time, continuous pedestrian tracking and positioning method with multiple coordinated overhead-view cameras. Measurement 178, 109386 (2021)

4. Xu, Y., Shmaliy, Y.S., Hua, L., et al.: Decision tree-extended finite impulse response filtering for pedestrian tracking over tightly integrated inertial navigation system/ultra wide band data. Meas. Sci. Technol. 3, 32 (2021)

5. Zhou, Y., Yang, W., Shen, Y.: Scale-adaptive KCF mixed with deep feature for pedestrian tracking. Electronics 10(5), 536 (2021)

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