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Publication Citation: Ground Truth Systems for Object Recognition and Tracking

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Author(s): Afzal A. Godil; Roger D. Eastman; Tsai Hong Hong;
Title: Ground Truth Systems for Object Recognition and Tracking
Published: March 29, 2013
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 drawbacks
Citation: NIST Interagency/Internal Report (NISTIR) - 7923
Pages: 24 pp.
Keywords: pose estimation, Ground truth, object recognition, object tracking
Research Areas: Perception, Metrology, Manufacturing
PDF version: PDF Document Click here to retrieve PDF version of paper (2MB)