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The economic development has been accompanied by the continuous increase of the urban population, which has led to an increase in the city’s total transportation demand and the urban traffic pressure. As a public service, urban rail transport plays a huge and indispensable role in solving people's travel problems. There are many reasons that affect the operation of urban rail trains, and among which tracking foreign bodies is one of the more common types. So, this paper focuses on the following three tasks: foreign object detection, foreign object classification, and early warning mechanism. Firstly, it designs and implements the detection method of foreign objects in the driving of urban rail vehicles. Secondly, it provides a foreign object detection algorithm to analyze and track the status of foreign objects efficiently by analyzing the track live video generated in the train operation system. Finally, an appropriate alarm processing is proposed according to the situation. Keywords—urban rail transit, detection methods of foreign bodie, support vector machine

Design and Implementation of Foreign Object Detection Method in Urban Rail Train Driving