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Found 6 papers, 0 papers with code
Achieving RGB-D level Segmentation Performance from a Single ToF Camera
Depth is a very important modality in computer vision, typically used as complementary information to RGB, provided by RGB-D cameras.
Unsupervised Anomaly Detection from Time-of-Flight Depth Images
Video anomaly detection (VAD) addresses the problem of automatically finding anomalous events in video data.
Ranked #1 on
Unsupervised Anomaly Detection
on TIMo
TIMo -- A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Most existing surveillance video datasets provide either grayscale or RGB videos.
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset
We present TICaM, a Time-of-flight In-car Cabin Monitoring dataset for vehicle interior monitoring using a single wide-angle depth camera.
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions
We present a test platform for visual in-cabin scene analysis and occupant monitoring functions.
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration
In this work, we propose a sensor fusion framework based on a weighted bi-objective optimization for refinement of extrinsic calibration tailored for RGB-D multi-view systems.
