Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition

As a result of its important role in video surveillance, pedestrian attribute recognition has become an attractive facet of computer vision research. Because of the changes in viewpoints, illumination, resolution and occlusion, the task is very challenging. In order to resolve the issue of unsatisfa...

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Autori principali: Yang Li, Huahu Xu, Minjie Bian, Junsheng Xiao
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2020-02-01
Serie:Sensors
Soggetti:
pedestrian attribute recognition
convolutional neutral networks (cnn)
conventional long short-term memory (convlstm)
channel attention (catt)
multi-label classification
Accesso online:https://www.mdpi.com/1424-8220/20/3/811
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