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uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
Deep learning-based approaches have achieved significant improvements on public video anomaly datasets, but often do not perform well in real-world applications.
Automated Camera Calibration via Homography Estimation with GNNs
We propose a framework involving the generation of a set of synthetic intersection viewpoint images from a bird's-eye-view image, framed as a graph of virtual cameras to model these images.
Homography Estimation in Complex Topological Scenes
Surveillance videos and images are used for a broad set of applications, ranging from traffic analysis to crime detection.
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