Subway station pedestrian abnormal event detection method based on deep learning
A pedestrian detection and deep learning technology, applied in the field of video processing, can solve problems such as non-intelligence and high manpower consumption
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[0089] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0090] The present invention provides a method for detecting abnormal pedestrian events in subway stations based on deep learning, which includes the following steps:
[0091] Step 1. The four data sets of VOC2007, VOC2012, CVC09, and CVC14 are integrated and processed to obtain a pedestrian detection data set containing 22139 picture samples;
[0092] Specifically, the four data sets can be downloaded from the Internet. Among them, the VOC ...
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