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Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01459-8
Abstract: The goal of video-based person re-identification is to recognize a person at different camera settings. Most previous methods use features from the full body to represent a person. In this paper, we propose a novel…
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Keywords:
video based;
person identification;
based person;
person ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7119-6
Abstract: Video-based person re-identification attracts wide attention because it plays a crucial role for many applications in the video surveillance. The task of video-based person re-identification is to match image sequences of the pedestrian recorded by…
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Keywords:
video based;
person identification;
part;
metric learning ... See more keywords
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1
Published in 2017 at "Journal of Experimental Social Psychology"
DOI: 10.1016/j.jesp.2016.06.011
Abstract: Abstract The current research examined how people form context-based trait impressions and why some of these impressions are stronger than others. This research drew from principles of attention theory (Kruschke, 1996, 2001) in order to…
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Keywords:
context;
based person;
person impressions;
context based ... See more keywords
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Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-05804-0
Abstract: Wi-Fi sensing is an innovative technology that enables numerous human-related applications. Among these, Wi-Fi based person re-identification (Re-ID) is an emerging research topic aiming to address well-known challenges related to traditional vision-based methods, such as…
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Keywords:
person;
dataset;
person identification;
based person ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2896779
Abstract: Despite the significant improvement in accuracy supervised learning has brought into person re-identification (re-id), the availability of sufficient fully annotated data from concerned camera-views poses a problem for real-life applications. To alleviate the burden of…
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Keywords:
person;
tracklet;
video based;
based person ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2898269
Abstract: Video-based person re-identification aims to retrieve video sequences of the same person in the multi-camera system. In this paper, we propose a $k$ -reciprocal harmonious attention network (KHAN) to jointly learn discriminative spatiotemporal features and…
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Keywords:
video based;
harmonious attention;
attention;
based person ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932102
Abstract: Video based person re-identification aims to associate video clips with the same identity by designing discriminative and representative features. Existing approaches simply compute representations for video clips via frame-level or region-level feature aggregation, where fine-grained…
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Keywords:
video;
video based;
based person;
fine grained ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3501382
Abstract: Text-based person re-identification (re-ID) is an emerging research domain in multi-camera surveillance systems. It involves identifying individuals across different camera views using textual descriptions as queries. Although text-based person re-ID holds significant potential for surveillance…
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Keywords:
person;
text based;
based person;
camera ... See more keywords
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2
Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3209084
Abstract: Wearable devices equipped with a variety of sensors facilitate the measurement of physiological and behavioral characteristics. Activity-based person identification is considered an emerging and fast-evolving technology in security and access control fields. Wearables, such as…
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Keywords:
based person;
person identification;
activity;
activity based ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3526995
Abstract: Aerial-based person detection poses a significant challenge, yet it is crucial for real-world applications like air-ground linkage search and all-weather intelligent corescuing. However, existing person detection models designed for aerial images heavily rely on numerous…
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Keywords:
vtsar dataset;
person;
person detection;
based person ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3119983
Abstract: Capturing long-range dependencies during feature extraction is crucial for video-based person re-identification (re-id) since it would help to tackle many challenging problems such as occlusion and dramatic pose variation. Moreover, capturing subtle differences, such as…
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Keywords:
long range;
statistic attention;
video based;
sanet ... See more keywords