16 citations · 17 across the 8 of their papers we have counts for
8 papers
ParticleSAM: Small Particle Segmentation for Material Quality Monitoring in Recycling Processes
Yu Zhou, Pelle Thielmann, Ayush Chamoli +3
The construction industry represents a major sector in terms of resource consumption. Recycled construction material has high reuse potential, but quality monitoring of the aggrega…
Achieving RGB-D level Segmentation Performance from a Single ToF Camera
Pranav Sharma, Jigyasa Singh Katrolia, Jason Rambach +3
Depth is a very important modality in computer vision, typically used as complementary information to RGB, provided by RGB-D cameras. In this work, we show that it is possible to o…
How accurate can combined measurements be -- experiment, simulation, and theory
B. Mirbach, M. Boguslawski
In this paper we investigate the question of how much combined measurements can increase the accuracy of additive quantities. Therefore, we consider a set of measurements from a se…
Unsupervised Anomaly Detection from Time-of-Flight Depth Images
Pascal Schneider, Jason Rambach, Bruno Mirbach +1
Video anomaly detection (VAD) addresses the problem of automatically finding anomalous events in video data. The primary data modalities on which current VAD systems work on are mo…
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Pascal Schneider, Yuriy Anisimov, Raisul Islam +4
We present TIMo (Time-of-flight Indoor Monitoring), a dataset for video-based monitoring of indoor spaces captured using a time-of-flight (ToF) camera. The resulting depth videos f…
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
Jigyasa Singh Katrolia, Bruno Mirbach, Ahmed El-Sherif +3
We present TICaM, a Time-of-flight In-car Cabin Monitoring dataset for vehicle interior monitoring using a single wide-angle depth camera. Our dataset addresses the deficiencies of…