A Railway Similarity Multiple Object Tracking Framework Based on Vehicle Front Video
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9319-2_9
Reference18 articles.
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2. Chen, W., Meng, S., Jiang, Y.: Foreign object detection in railway images based on an efficient two-stage convolutional neural network. Comput. Intell. Neurosci. (2022)
3. Cao, Z., et al.: An effective railway intrusion detection method using dynamic intrusion region and lightweight neural network. Measurement 191, 110564 (2022)
4. Meng, C., Wang, Z., Shi, L., Gao, Y., Tao, Y., Wei, L.: SDRC-YOLO: a novel foreign object intrusion detection algorithm in railway scenarios. Electronics 12(5), 1256 (2023)
5. Li, Y., Qin, Y., Xie, Z., Cao, Z., Jia, L., Yu, Z., Zheng, J., Zhang, E.: Efficient SSD: a real-time intrusion object detection algorithm for railway surveillance. In: International conference on sensing, diagnostics, prognostics, and control, pp. 391–395. IEEE Beijing (2020)
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