TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios

Authors

Angelica I. Avilés-Rivero (ORCID: https://orcid.org/0000-0002-8878-0325)
Xiaowei Hu (ORCID: https://orcid.org/0000-0002-5708-7018)
Carola‐Bibiane Schönlieb (ORCID: https://orcid.org/0000-0003-0099-6306)
Zhongying Deng (ORCID: https://orcid.org/0000-0003-0887-7408)
Píetro Lió (ORCID: https://orcid.org/0000-0002-0540-5053)
Lihao Liu (ORCID: https://orcid.org/0000-0002-8983-2342)
Dongdong Chen (ORCID: https://orcid.org/0000-0002-4642-4373)
Shujun Wang (ORCID: https://orcid.org/0000-0003-1495-3278)
Yanqi Cheng (ORCID: https://orcid.org/0000-0001-6203-6111)

Institutions

Microsoft (United States) (US)
Hong Kong Polytechnic University (HK)
University of Cambridge (GB)
Shanghai Artificial Intelligence Laboratory (CN)
Seattle University (US)

Publication Details

Published: 2024-10-26
DOI: https://doi.org/10.1145/3664647.3681153
Citations: 1
Primary Topic: Anomaly Detection Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.35

Funders

Girton College, University of Cambridge

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article

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios

Angelica I. Avilés-Rivero, Xiaowei Hu, Carola‐Bibiane Schönlieb, Zhongying Deng et al.

Oct 26, 2024

1 citations

Anomaly Detection Techniques and Applications

0.35

article

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios

Angelica I. Avilés-Rivero, Xiaowei Hu, Carola‐Bibiane Schönlieb, Zhongying Deng, Píetro Lió, Lihao Liu, Dongdong Chen, Shujun Wang, Yanqi Cheng

October 26, 2024article en

1 citations

Abstract

No abstract available for this paper.

Microsoft (United States) (US), Hong Kong Polytechnic University (HK), University of Cambridge (GB), Shanghai Artificial Intelligence Laboratory (CN), Seattle University (US)

Girton College, University of Cambridge

Openalex Percentile: Top 32%

Anomaly Detection Techniques and Applications

0.35

DOI Open Access PDF OpenAlex

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TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios — Angelica I. Avilés-Rivero, Xiaowei Hu, et al. · (2024) | TGRS Research Map | TGRS