VIDEO PERSONNEL RE-IDENTIFICATION METHOD BASED ON TRAJECTORY FUSION IN COMPLEX UNDERGROUND SPACE
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Jun 22, 2023
app pub date -
Feb 22, 2023
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Nov 10, 2021
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Disclosed is a video personnel re-identification method based on trajectory fusion in a complex underground space; an accurate personnel trajectory prediction may be realized through the Social-GAN model; and a spatio-temporal trajectory fusion model is constructed, and personnel trajectory videos that are not affected by the occlusion are introduced into the re-identification network to solve the problem of false extraction of the apparent visual features caused by the occlusion. In addition, a trajectory fusion MARS_traj data set is constructed, and a number of time frames and space coordinate information are added to the MARS data set.
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