SFGN: Representing the sequence with one super frame for video person re-identification
Video-based person re-identification (V-Re-ID) is more robust than image-based person re-
identification (I-Re-ID) because of the additional temporal information. However, the high …
identification (I-Re-ID) because of the additional temporal information. However, the high …
HASI: Hierarchical Attention-Aware Spatio-Temporal Interaction for Video-Based Person Re-Identification
S Chen, H Da, DH Wang, XY Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Video-based person re-identification (re-ID) aims to match the same pedestrian of video
sequences across non-overlapping cameras. Video re-ID methods generally adopt frame …
sequences across non-overlapping cameras. Video re-ID methods generally adopt frame …
STFE: a comprehensive video-based person re-identification network based on spatio-temporal feature enhancement
Video-based person re-identification (Re-ID) is designed to retrieve target pedestrians in
video sequences under non-overlapping cameras. At present, mainstream approaches post …
video sequences under non-overlapping cameras. At present, mainstream approaches post …
Multi-scale spatio-temporal feature adaptive aggregation for video-based Person Re-identification
W Zhao, Y Huang, G Wang, B Zhang, Y Gao… - Knowledge-Based …, 2024 - Elsevier
Video-based person re-identification (Re-ID) aims to retrieve the target person from video
sequences captured by a distributed camera system. It remains a challenging task due to the …
sequences captured by a distributed camera system. It remains a challenging task due to the …
Relation-based global-partial feature learning network for video-based person re-identification
F Yang, X Wang, X Zhu, B Liang, W Li - Neurocomputing, 2022 - Elsevier
Video-based person re-identification (Re-ID) aims to match the same pedestrian from the
video sequences captured by non-overlapping cameras. It is the key to fully extracting …
video sequences captured by non-overlapping cameras. It is the key to fully extracting …
Frequency information disentanglement network for video-based person re-identification
Recently, most video-based person re-identification (Re-ID) methods adopt complex model
or multi-scaled information to explore more discriminative spatio-temporal clues, thus …
or multi-scaled information to explore more discriminative spatio-temporal clues, thus …
Large-scale video-based person re-identification via non-local attention and feature erasing
Encoding the video tracks of person to an aggregative representation is the key for video-
based person re-identification (re-ID), where average pooling or RNN methods are typically …
based person re-identification (re-ID), where average pooling or RNN methods are typically …
Temporal aggregation with clip-level attention for video-based person re-identification
M Li, H Xu, J Wang, W Li, Y Sun - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Video-based person re-identification (Re-ID) methods can extract richer features than image-
based ones from short video clips. The existing methods usually apply simple strategies …
based ones from short video clips. The existing methods usually apply simple strategies …
Learning discriminative features with a dual-constrained guided network for video-based person re-identification
Video-based person re-identification (ReID) aims at matching pedestrians in a large video
gallery across different cameras. However, some interference factors in most real-world …
gallery across different cameras. However, some interference factors in most real-world …
Weighted triple-sequence loss for video-based person re-identification
Person re-identification (re-id) task has attracted a lot of attention because of the excellent
performance powered by the Convolutional Neural Network (CNN). However, video-based …
performance powered by the Convolutional Neural Network (CNN). However, video-based …