Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data-Reference-Cited by-同舟云学术

Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Yu Fudan¹,Ao Wenxuan¹,Yan Huan¹,Zhang Guozhen¹,Wu Wei²,Li Yong¹

Affiliation:

1. Tsinghua University, Beijing, China

2. SenseTime Research, Beijing, China

Funder

The National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539186

Reference27 articles.

1. Group-Sensitive Triplet Embedding for Vehicle Reidentification

2. Inferring Uncertain Trajectories from Partial Observations

3. Part-Regularized Near-Duplicate Vehicle Re-Identification

4. Zhiqun He , Yu Lei , Shuai Bai , and Wei Wu . 2019 . Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue .. In CVPR Workshops. 203--212 . Zhiqun He, Yu Lei, Shuai Bai, and Wei Wu. 2019. Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue.. In CVPR Workshops. 203--212.

5. Robust real-time route inference from sparse vehicle position data

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Challenges of spatio-temporal trajectory datasets;Journal of Location Based Services;2024-06-27

3. Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery;IEEE Transactions on Computational Social Systems;2024

4. Co-Movement Pattern Mining from Videos;Proceedings of the VLDB Endowment;2023-11

5. TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals;Proceedings of the VLDB Endowment;2023-11