2020
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor
ICRA 2020poster
It is an effective strategy for the multi-person pose tracking task in videos to employ prediction and pose matching in a frame-by-frame manner. For this type of approach, uncertainty-aware modeling is essential because precise prediction is impossible. However, previous studies have relied on only…