Deep learning-based cross-camera pedestrian multi-target tracking method and device
A multi-target tracking and deep learning technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of large investment of resources, waste, low resolution, etc.
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[0080] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.
[0081] like figure 1 As shown, according to an embodiment of the present invention, the present invention provides a single-camera pedestrian multi-target tracking method based on deep learning, comprising the following steps:
[0082] Step S101, acquiring video data;
[0083] The video data may be original video collected by devices such as a camera, or video data obtained after preprocessing on the original video.
[0084] Step S102, input the video to...
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