Authors:
Philip Nicolai
;
Jörg Raczkowsky
and
Heinz Wörn
Affiliation:
Karlsruhe Institute of Technology (KIT), Germany
Keyword(s):
3D Camera, Tracking, Data Fusion, Probability Propagation.
Related
Ontology
Subjects/Areas/Topics:
Human-Machine Interfaces
;
Image Processing
;
Informatics in Control, Automation and Robotics
;
Perception and Awareness
;
Robotics and Automation
;
Sensors Fusion
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
We present an approach to track a point cloud with a 3D camera system with low latency and/or high frame
rate, based on ground truth provided by a second 3D camera system with higher latency and/or lower frame
rate. In particular, we employ human tracking based on Kinect cameras and combine it with higher frame-rate/
lower latency of Time-of-Flight (ToF) cameras. We present the system setup, methods used and
evaluation results showing a very high accuracy in combination with a latency reduction of up to factor 30.