Robust target tracking method based on phantom adversarial network
A target tracking and hallucination technology, applied in the field of robust target tracking based on hallucination confrontation network, can solve problems affecting tracking performance, over-fitting, online learning limitations, etc.
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[0040] Below in conjunction with accompanying drawing and embodiment the method of the present invention is described in detail, present embodiment is carried out under the premise of technical scheme of the present invention, has provided embodiment and specific operation process, but protection scope of the present invention is not limited to following the embodiment.
[0041] see figure 1 , the embodiment of the present invention includes the following steps:
[0042] A. Collect a large number of deformation sample pairs in the labeled target tracking dataset as a training sample set. The specific process is as follows: label video sequences to collect a large number of target sample pairs (a pair of samples contains the same target). For example, in the video sequence a, first select the target sample at frame t Then randomly select the target sample in one frame in the last 20 frames as In order to form a set of deformation sample pairs According to the above step...
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