This paper proposes a method for video-based person re-identification. Motivated by the capacity of Recurrent Feature Aggregation Network (RFA-Net) that ...
Jan 23, 2017 · We address the person re-identification problem by effectively exploiting a globally discriminative feature representation from a sequence of tracked human ...
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This work shows that a progressive/sequential fusion framework based on long short term memory (LSTM) network aggregates the frame-wise human region ...
Abstract: This paper proposes a method for video-based person re-identification. Motivated by the capacity of Recurrent Feature Aggregation Network (RFA-Net) ...
Sep 11, 2024 · We propose a new neural network called Temporal-enhanced Convolutional Network (T-CN) for video-based person reidentification. For each video ...
With the use of the proposed network, hand-crafted low-level features can be augmented with temporal cues and significantly improve the accuracy of person re-id ...
We propose a novel person re-identification network. Our approach integrates pedestrian edge features into the representation and utilizes edge information to ...
In the paper, we propose a novel Re-ID network named as improved ReIDNet (iReIDNet), which can effectively extract the local and global multi-granular feature ...
In this paper, we propose a Multi-Granularity Reference- aided Attentive Feature Aggregation scheme (MG-RAFA) for video-based person re-identification, which ...
It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames.