A Deep Learning-Based Multi-Pedestrian Tracking Method
A technology of deep learning and pedestrian tracking, which is applied in the field of multi-pedestrian tracking based on deep learning, can solve the problems of trajectory drift and occlusion problem processing ability, so as to improve robustness, avoid the deviation of manual selection features, and improve research value Effect
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[0030] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It is necessary to point out that the following embodiments are only used to further illustrate the present invention, and should not be construed as limiting the scope of protection of the present invention. Those skilled in the art are familiar with the present invention. According to the above-mentioned content of the invention, some non-essential improvements and adjustments are made to the present invention for specific implementation, which should still belong to the protection scope of the present invention.
[0031] figure 1 , multi-pedestrian tracking based on deep learning, including the following steps:
[0032] (1) Train the fused appearance feature network of the tracker in a supervised learning method: For different branches, use the cosine-softmax loss function to train separately, and then fuse the features of each branch in seri...
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