Performance measurements for evaluating static and dynamic multiple human detection and tracking systems in unstructured environments
PerMIS '09: Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems(2009)
摘要
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.
更多查看译文
关键词
data collection,experimental design,early detection,performance measurement,perception,real-time display system,video sensor data,real-time detection,cta member algorithm,robotics cta member,tracking,ground truth,independent pedestrian tracking system,metrics,dynamic multiple human detection,performance evaluation,unstructured environment,robotics collaborative technology alliance,unmanned ground vehicle,pedestrian tracking,real time,tracking system,field experiment
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要