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Publication Citation: Performance Measurements for Evaluating Static and Dynamic Multiple Human Detection and Tracking Systems in Unstructured Environments

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Author(s): Bodt Bodt; Richard Camden; Harry A. Scott; Adam S. Jacoff; Tsai Hong Hong; Tommy Chang; Richard J. Norcross; Anthony J. Downs; Ann M. Virts;
Title: Performance Measurements for Evaluating Static and Dynamic Multiple Human Detection and Tracking Systems in Unstructured Environments
Published: June 30, 2010
Abstract: The Army Research Laboratory (ARL) Robotics Collaborative Technology Alliance (CTA) conducted an assessment and evaluation of multiple algorithms for real-time detection of pedestrians in Laser Detection and Ranging (LADAR) and video sensor data taken from a moving platform. The algorithms were developed by Robotics CTA members and then assessed in field experiments jointly conducted by the National Institute of Standards and Technology (NIST) and ARL. A robust, accurate and independent pedestrian tracking system was developed to provide ground truth. The ground truth was used to evaluate the CTA member algorithms for uncertainty and error in their results. A real-time display system was used to provide early detection of errors in data collection.
Proceedings: Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) 2009
Pages: pp. 166 - 173
Location: Gaithersburg, MD
Dates: September 21-23, 2009
Keywords: Unmanned ground vehicle; experimental design; ground truth; pedestrian tracking; metrics; perception; performance evaluation
Research Areas: Assessment, Statistics, Math, Measurements
PDF version: PDF Document Click here to retrieve PDF version of paper (4MB)