Advanced Video and Signal-Based Surveillance

@INPROCEEDINGS{AVSS2011_1569424019,
  author = {Nils Krahnstoever and Ming-Ching Chang and Weina Ge},
  title = {{Gaze and Body Pose Estimation from a Distance}},
  booktitle = {2011 8th IEEE International Conference on 
	Advanced Video and Signal-Based Surveillancei (AVSS)},
  year = {2011},
  pages = {6},
  month = {Aug.},
  abstract = {
We present a comprehensive approach to estimating location, body pose and
gaze direction of multiple individuals in unconstraint environments. The
approach combines person detections from fixed cameras with directional
face detections obtained from actively controlled pan tilt zoom (PTZ)
cameras. The main contribution of this work is to estimate both body pose
and gaze direction independently from motion direction using a combination
of sequential Monte Carlo Filtering and MCMC sampling. There are numerous
benefits in obtaining body pose and gaze angle information. In surveillance
it allows the system to track what people are looking at, can optimize the
control of active cameras for biometric face capture, and can provide
better interaction metrics between pairs of people. The availability of
gaze and face detection information also improves localization and data
association for tracking in crowded environments. The performance of the
system will be demonstrated on data captured at a real-time surveillance
site.
  }
}