The research on recognition of passenger abnormal behavior in urban rail transit stations based on conditional generative adversarial networks
With the exponential growth of urban rail transit passenger flow, manual monitoring for passenger abnormal behavior recognition is prone to missed detections and misjudgments due to visual fatigue. Developing rapid and accurate intelligent recognition method for passenger abnormal behavior has there...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825005939 |
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