Reliably detecting humans with RGB-D camera with physical blob detector followed by learning-based filtering
Guyue Zhang, Jun Liu, Luchao Tian, Yan Qiu Chen · 2016
This paper proposes a two-staged approach to real-time human detection in cluttered environments using RGB-D camera. The first stage is a novel physical blob (P-Blob) detection that can quickly find plausible human heads. The second stage uses a combination of human upper-body features to filter out false positives. Experiment results on three publicly available datasets show that the proposed method can reliably detect people in RGB-D video in real time.