Evaluation of a Laser-based Multi-people Detection and Tracking System
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shibasaki · 2006
In this paper, we present evaluation of the performance of a laser-based multi-people detection and tracking system. We propose metrics for frame-based as well as object- based evaluation paradigms considering complexity in multi- target tracking. In frame-based evaluation, accuracy of people localization is tested without considering people identity. In object-based evaluation, identity is included, so that the cases of broken/merged/crossed trackers are evaluated. Finally, we applied these metrics to the tracking results on real data.