Performance measurements for evaluating static and dynamic multiple human detection and tracking systems in unstructured environments
作者： Barry Bodt , Richard Camden , Harry Scott , Adam Jacoff , Tsai Hong
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摘要: The Army Research Laboratory (ARL) Robotics Collaborative Technology Alliance (CTA) conducted an assessment and evaluation of multiple algorithms for real-time detection pedestrians in Laser Detection Ranging (LADAR) video sensor data taken from a moving platform. were developed by CTA members then assessed field experiments jointly the National Institute Standards (NIST) ARL. A robust, accurate independent pedestrian tracking system was to provide ground truth. truth used evaluate member uncertainty error their results. display early errors collection.
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