mlsanityData to 7 Oct 2026

Spatial-temporal Vehicle Re-identification

arXiv 2309.01166 ↗First posted 3 Sep 2023cs.CV cs.AIcited by 1

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Abstract (arXiv)

Vehicle re-identification (ReID) in a large-scale camera network is important in public safety, traffic control, and security. However, due to the appearance ambiguities of vehicle, the previous appearance-based ReID methods often fail to track vehicle across multiple cameras. To overcome the challenge, we propose a spatial-temporal vehicle ReID framework that estimates reliable camera network topology based on the adaptive Parzen window method and optimally combines the appearance and spatial-temporal similarities through the fusion network. Based on the proposed methods, we performed superior performance on the public dataset (VeRi776) by 99.64% of rank-1 accuracy. The experimental results support that utilizing spatial and temporal information for ReID can leverage the accuracy of appearance-based methods and effectively deal with appearance ambiguities.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 20 of its 39 references that are in the map. First posted on arXiv 3 Sep 2023.

Builds on

20 of 39 references.

References · 20

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2017In Defense of the Triplet Loss for Person Re-Identificationcited by 784
  3. 2021TransReID: Transformer-based Object Re-Identificationcited by 432
  4. 2022CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labelscited by 177
  5. 2020FastReID: A Pytorch Toolbox for General Instance Re-identificationcited by 164
  6. 2021Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identificationcited by 114
  7. 2017Pose-driven Deep Convolutional Model for Person Re-identificationcited by 86
  8. 2020Parsing-based View-aware Embedding Network for Vehicle Re-Identificationcited by 53
  9. 2018Spatial-Temporal Person Re-identificationcited by 45
  10. 2020VehicleNet: Learning Robust Visual Representation for Vehicle Re-identificationcited by 42
  11. 2020The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identificationcited by 39
  12. 2019A Dual-Path Model With Adaptive Attention For Vehicle Re-Identificationcited by 34
8 more
  1. 2020PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Datacited by 31
  2. 2020Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Networkcited by 26
  3. 2017Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposalscited by 23
  4. 2020Multi-Domain Learning and Identity Mining for Vehicle Re-Identificationcited by 18
  5. 2021A Strong Baseline for Vehicle Re-Identificationcited by 13
  6. 2021Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systemscited by 8
  7. 2021Learning Instance-level Spatial-Temporal Patterns for Person Re-identificationcited by 7
  8. 2017Joint Person Re-identification and Camera Network Topology Inference in Multiple Camerascited by 6

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Object Re-identification via Spatial-temporal Fusion Networks and Causal Identity Matchingcited by 0