Automatic ship tracking method and system based on deep learning network and mean shift
A technology of deep learning network and mean shift, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve problems such as lost targets, error accumulation, poor tracking effect of dynamically changing targets, etc., and achieve good stability sexual effect
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[0046] In order to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.
[0047] See figure 1 When the present invention is applied, the applicable system architecture mainly includes a monitoring video acquisition module, a ship tracking platform, and an application platform. The surveillance video acquisition module mainly uses multiple visible light surveillance cameras to acquire the video of the seaside area and download the data to the ship tracking module. The vessel tracking platform adopts the method of the present invention to extract and automatically track the vessel target, and transmit the abnormal situation of the vessel target to the application platform. According to the specific ship analysis platform, behavior prediction platform, abnormal event processing platform, and ship supervision platform in the application platform...
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