11 citations · 28 across the 11 of their papers we have counts for
11 papers
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With
Deep learning-based approaches have achieved significant improvements on public video anomaly datasets, but often do not perform well in real-world applications. This paper address…
Density-Guided Label Smoothing for Temporal Localization of Driving Actions
Tunc Alkanat, Erkut Akdag, Egor Bondarev +1
Temporal localization of driving actions plays a crucial role in advanced driver-assistance systems and naturalistic driving studies. However, this is a challenging task due to str…
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition
Erkut Akdag, Zeqi Zhu, Egor Bondarev +1
Classification and localization of driving actions over time is important for advanced driver-assistance systems and naturalistic driving studies. Temporal localization is challeng…
Automated Camera Calibration via Homography Estimation with GNNs
Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. De With
Over the past few decades, a significant rise of camera-based applications for traffic monitoring has occurred. Governments and local administrations are increasingly relying on th…
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Tim J. Schoonbeek, Tim Houben, Hans Onvlee +2
Although action recognition for procedural tasks has received notable attention, it has a fundamental flaw in that no measure of success for actions is provided. This limits the ap…
Homography Estimation in Complex Topological Scenes
Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. De With
Surveillance videos and images are used for a broad set of applications, ranging from traffic analysis to crime detection. Extrinsic camera calibration data is important for most a…