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Tracking-Learning-Detection (TLD) is an excellent visual tracking method, it decomposes the long-term tracking into three sub-tasks: tracking, learning and detecting. Each sub-task is addressed by a single component and operates simultaneously, all three sub-tasks are unified in a tracking-learning-detection framework. But our experiments show that it is(More)
The dramatic growth of online state monitoring for low speed train, like trolleybus et al, gives rise to the new requirements on high quality-of-service of wireless train-ground communication networks. Generally these kinds of train are running at urban area, because of the signal coverage of base station, single mode of mobile network for the train-ground(More)
Rail track extraction from the image can be used to determine the train localization, or vision-based inspection of the rail, and some other driver supporting systems in railway. For the vision-based inspection, it is one of the most important tasks. But visual approach suffers from some common difficulties, the illumination change, shadow, weather effects,(More)
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