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About Anomalous Motion Detection On Highway Using Deep Learning: Harpreet Singh Emily M. Hand Kostas Alexis
The document presents a new dataset called the Highway Traffic Anomaly (HTA) dataset for evaluating anomaly detection methods in highway traffic videos captured from vehicle dash cams. The goal is to detect abnormal traffic patterns compared to normal driving motion. The dataset consists of dash cam videos divided into training videos of normal traffic and test videos containing both normal and abnormal traffic, with five types of anomalies annotated. Three state-of-the-art deep learning anomaly detection models are evaluated on the new dataset as well as two proposed variations tailored for the highway traffic domain.
Detailed Information
| Author: | ['Asil Asila'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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