Video-Based Person Re-Identification
31 papers with code • 0 benchmarks • 6 datasets
Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras
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Most implemented papers
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Therefore, we propose a novel sample mining method, called Online Soft Mining (OSM), which assigns one continuous score to each sample to make use of all samples in the mini-batch.
Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect
Recently, the research interest of person re-identification (ReID) has gradually turned to video-based methods, which acquire a person representation by aggregating frame features of an entire video.
Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identification
Video-based person re-identification (Re-ID) is an important computer vision task.
Temporal Complementary Learning for Video Person Re-Identification
This paper proposes a Temporal Complementary Learning Network that extracts complementary features of consecutive video frames for video person re-identification.
Video-based Person Re-identiﬁcation with Accumulative Motion Context
Video based person re-identification plays a central role in realistic security and video surveillance.
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
Person Re-Identification (person re-id) is a crucial task as its applications in visual surveillance and human-computer interaction.
Deep Association Learning for Unsupervised Video Person Re-identification
In this work, to address the video person re-id task, we formulate a novel Deep Association Learning (DAL) scheme, the first end-to-end deep learning method using none of the identity labels in model initialisation and training.
Video-based Person Re-identification Using Spatial-Temporal Attention Networks
The goal is to identify a person from videos captured under different cameras.
Spatial and Temporal Mutual Promotion for Video-based Person Re-identification
How to explore the abundant spatial-temporal information in video sequences is the key to solve this problem.
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
Video-based person re-identification (Re-ID) aims at matching video sequences of pedestrians across non-overlapping cameras.