76 citations · 109 across the 24 of their papers we have counts for
5 papers · 1 filter
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance
Erkut Akdag, Egor Bondarev, Peter H. N. De With
Anomaly detection in video surveillance has recently gained interest from the research community. Temporal duration of anomalies vary within video streams, leading to complications…
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
Yiling Zhang, Erkut Akdag, Egor Bondarev +1
Detection of anomaly events is relevant for public safety and requires a combination of fine-grained motion information and contextual events at variable time-scales. To this end,…
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…
Detection of Object Throwing Behavior in Surveillance Videos
Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev +1
Anomalous behavior detection is a challenging research area within computer vision. Progress in this area enables automated detection of dangerous behavior using surveillance camer…