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

ICASSP 2016accepted0 citations

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

Abstract

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.

BibTeX

@inproceedings{icassp2016_reliablydetectin,
  title = {Reliably detecting humans with RGB-D camera with physical blob detector followed by learning-based filtering},
  author = {Guyue Zhang and Jun Liu and Luchao Tian and Yan Qiu Chen},
  booktitle = {ICASSP 2016},
  year = {2016}
}