A Real-World Dataset for Abnormal Behavior Detection in Turnstile Gates
收藏DataCite Commons2026-05-03 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.20000090
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资源简介：
This dataset contains real-world surveillance data collected from turnstile gate environments for abnormal behavior detection.
The dataset includes:- RGB video sequences captured from real operational turnstile gates- Extracted image frames- Various human behaviors, including normal passage and abnormal actions (e.g., tailgating, unauthorized entry, loitering)
The data was collected under real-world conditions and is intended for research in:- Computer vision- Video anomaly detection- Human behavior analysis- Smart access control systems
This dataset was used in the study:"A TimeSformer-Based Approach with LSTM and Attention for Detecting Abnormal Behaviors in Turnstile Gates"
提供机构：
Zenodo
创建时间：
2026-05-03
