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An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
[article]
2020
arXiv
pre-print
The automatic characterization of pedestrians in surveillance footage is a tough challenge, particularly when the data is extremely diverse with cluttered backgrounds, and subjects are captured from varying distances, under multiple poses, with partial occlusion. Having observed that the state-of-the-art performance is still unsatisfactory, this paper provides a novel solution to the problem, with two-fold contributions: 1) considering the strong semantic correlation between the different
arXiv:2004.01110v1
fatcat:flyuqx2cyngqnnqzbmwlrkwe4e