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Mining Platoon Patterns from Traffic Videos

Summary: Defines relaxed platoon patterns in traffic video that tolerate missing cameras and nonconsecutive observations, addressing occlusion and identity errors. MaxGrowth enumerates cluster-sequence candidates without verification or false positives, with pruning and up to 100× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14029
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,841 | 25.63%
DOI
10.14778/3725688.3725710

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Authors

BibTeX Citation

@article{bei_vldb25,
        title = {{Mining Platoon Patterns from Traffic Videos}},
        author = {Bei, Yijun and Ma, Teng and Zhang, Dongxiang and Wu, Sai and Tan, Kian-Lee and Chen, Gang},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {6},
        pages = {1839--1851},
        doi = {10.14778/3725688.3725710},
        url = {https://doi.org/10.14778/3725688.3725710},
        year = {2025}
}

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Rank Citing Paper Year Venue Pagerank
10,393 Query-Aware Path Inference from Spatial Videos 2026 SIGMOD 5.093636e-05
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