| 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: |
 Click here to retrieve PDF version of paper (4MB) |
