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Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e03563
Abstract: Video surveillance applications have made great strides in making the world a safer place. Extracting visual attributes from a scene, such as the type of shoes, the type of clothing, carrying any object or not,…
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Keywords:
attribute recognition;
pedestrian attribute;
neural network;
multi branch ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3178144
Abstract: Pedestrian attribute recognition (PAR), which aims to identify attributes of the pedestrians captured in video surveillance, is a challenging task due to the poor quality of images and diverse spatial distribution among attributes. Existing methods…
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Keywords:
attribute;
baseline;
attribute recognition;
pedestrian attribute ... See more keywords
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Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3268887
Abstract: Incremental pedestrian attribute recognition (IncPAR) aims to learn novel person attributes continuously and avoid the catastrophic forgetting, which is an essential problem for image forensic and security applications, e.g., suspect search. Different from the conventional…
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Keywords:
attribute;
uncertainty;
incremental pedestrian;
attribute recognition ... See more keywords
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Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3045286
Abstract: The pedestrian attribute recognition aims at generating the structured description of pedestrian, which plays an important role in surveillance. However, it is difficult to achieve accurate recognition results due to diverse illumination, partial body occlusion…
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Keywords:
recognition;
graph convolutional;
attribute;
correlation graph ... See more keywords