3 citations · 4 across the 5 of their papers we have counts for
7 papers
Video Anomaly Detection with Contours -- A Study
Mia Siemon, Ivan Nikolov, Thomas B. Moeslund +1
In Pose-based Video Anomaly Detection prior art is rooted on the assumption that abnormal events can be mostly regarded as a result of uncommon human behavior. Opposed to utilizing…
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified
Mia Siemon, Thomas B. Moeslund, Barry Norton +1
In this study, we formulate the task of Video Anomaly Detection as a probabilistic analysis of object bounding boxes. We hypothesize that the representation of objects via their bo…
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu +4
Anomaly detection is commonly pursued as a one-class classification problem, where models can only learn from normal training samples, while being evaluated on both normal and abno…
Real-World Super-Resolution of Face-Images from Surveillance Cameras
Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund
Most existing face image Super-Resolution (SR) methods assume that the Low-Resolution (LR) images were artificially downsampled from High-Resolution (HR) images with bicubic interp…
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
Adrien Deliège, Anthony Cioppa, Silvio Giancola +6
Understanding broadcast videos is a challenging task in computer vision, as it requires generic reasoning capabilities to appreciate the content offered by the video editing. In th…
Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking
Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei +2
Visual object tracking remains an active research field in computer vision due to persisting challenges with various problem-specific factors in real-world scenes. Many existing tr…
A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition
Alireza Sepas-Moghaddam, Mohammad A. Haque, Paulo Lobato Correia +3
Face recognition has attracted increasing attention due to its wide range of applications, but it is still challenging when facing large variations in the biometric data characteri…