Multi-Branch Gabor Wavelet Layers for Pedestrian Attribute Recognition
Surveillance cameras are everywhere, keeping an eye on pedestrians as they navigate through a scene. With this context, our paper addresses the problem of pedestrian attribute recognition (PAR). This problem entails recognizing attributes such as age-group, clothing style, accessories, footwear styl...
Main Author: | Imran N. Junejo |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9360746/ |
Similar Items
-
Pedestrian attribute recognition using trainable Gabor wavelets
by: Imran N. Junejo, et al.
Published: (2021-06-01) -
A multi-branch separable convolution neural network for pedestrian attribute recognition
by: Imran N. Junejo, et al.
Published: (2020-03-01) -
Pedestrian Attribute Recognition Based on Dual Self-attention Mechanism
by: Fan, Z., et al.
Published: (2023) -
Pedestrian attribute recognition using two-branch trainable Gabor wavelets network.
by: Imran N Junejo
Published: (2021-01-01) -
Pedestrian Attribute Recognition with Graph Convolutional Network in Surveillance Scenarios
by: Xiangpeng Song, et al.
Published: (2019-11-01)