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

Published

Author(s)

Bodt Bodt, Richard Camden, Harry A. Scott, Adam S. Jacoff, Tsai H. Hong, Tommy Chang, Richard J. Norcross, Anthony Downs, Ann Virts

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 Title
Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) 2009
Conference Dates
September 21-23, 2009
Conference Location
Gaithersburg, MD, US

Keywords

Unmanned ground vehicle, experimental design, ground truth, pedestrian tracking, metrics, perception, performance evaluation

Citation

Bodt, B. , Camden, R. , Scott, H. , Jacoff, A. , Hong, T. , Chang, T. , Norcross, R. , Downs, A. and Virts, A. (2010), Performance Measurements for Evaluating Static and Dynamic Multiple Human Detection and Tracking Systems in Unstructured Environments, Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) 2009, Gaithersburg, MD, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=904192 (Accessed March 1, 2024)
Created June 29, 2010, Updated October 12, 2021