Continuous Pre-Calculation of Human Tracking with Time-delayed Ground-truth - A Hybrid Approach to Minimizing Tracking Latency by Combination of Different 3D Cameras. Nicolai, P., Raczkowsky, J., & Wörn, H. In Informatics in Control, Automation and Robotics (ICINCO), 12th International Conference on, pages 121–130, 2015. Short-listed for Best Paper Award.abstract bibtex 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 framerate/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.
@inproceedings{nicolai2015,
author = {Nicolai, Philip and Raczkowsky, J{\"o}rg and W{\"o}rn, Heinz},
title = {{Continuous Pre-Calculation of Human Tracking with Time-delayed Ground-truth - A Hybrid Approach to Minimizing Tracking Latency by Combination of Different 3D Cameras}},
pages = {121--130},
booktitle = {{Informatics in Control, Automation and Robotics (ICINCO), 12th International Conference on}},
year = {2015},
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 framerate/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.},
bibbase_note = {<span style="color: green">Short-listed for Best Paper Award.</span>}
}
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