People Tracking Using a Time-of-Flight Depth Sensor

  title={People Tracking Using a Time-of-Flight Depth Sensor},
  author={Alessandro Bevilacqua and Luigi di Stefano and Pietro Azzari},
  journal={2006 IEEE International Conference on Video and Signal Based Surveillance},
Visually track several moving persons engaged in close interactions is known to be a very hard problem, though 3-D approaches based on stereo vision and plan-view maps offer much promise for dealing effectively with major issues such as occlusions and quick changes in body pose and appearance. However, in case of untextured scenes due to homogeneous objects or poor illumination, stereo-based tracking systems rapidly drop their performance. In this work, we present a real time people tracking… CONTINUE READING
Highly Cited
This paper has 58 citations. REVIEW CITATIONS

2 Figures & Tables



Citations per Year

59 Citations

Semantic Scholar estimates that this publication has 59 citations based on the available data.

See our FAQ for additional information.