Godil, A.
, Eastman, R.
and Hong, T.
(2013),
Ground Truth Systems for Object Recognition and Tracking, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7923, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913121
(Accessed October 7, 2024)
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Ground Truth Systems for Object Recognition and Tracking
Published
Author(s)
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Abstract
In this report we discuss different types of ground-truth systems used for evaluation of object recognition and tracking systems in industrial manufacturing environments. We discuss three main ways for acquiring ground truth for object recognition and tracking: 1) physics based simulation ground-truth systems, 2) annotation/labeling ground-truth systems, 3) autonomous ground-truth systems, 4) platform-based ground-truth systems, 5) physically sensed ground-truth systems, and 6) optically based motion capture ground-truth systems. We discuss previous efforts and discuss the different physical quantities used for ground-truth systems. At this point there does not seem to be solid, universal solutions to ground truth for human and object detection and tracking. There are a number of partial solutions suitable for particular applications, with varying drawbacksCitation
NIST Interagency/Internal Report (NISTIR) - 7923
Report Number
7923
NIST Pub Series
Pub Type
NIST Pubs
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Keywords
pose estimation, Ground truth, object recognition, object tracking
Citation
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Created March 28, 2013, Updated October 12, 2021