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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|
|Dates:||September 21-23, 2009|
|Keywords:||Unmanned ground vehicle, experimental design, ground truth, pedestrian tracking, metrics, perception, performance evaluation|
|Research Areas:||Math, Assessment, Statistics, Measurements|
|PDF version:||Click here to retrieve PDF version of paper (4MB)|