@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
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@INPROCEEDINGS{pereraBHD06pocv,
  author = {Perera, A. G. A. and Brooksby, G. and Hoogs, A. and Doretto, G.},
  title = {Moving object segmentation using scene understanding},
  booktitle = {Proceedings of IEEE Computer Society Workshop on Perceptual Organization
	in Computer Vision},
  year = {2006},
  pages = {201--208},
  address = {New York City, NY, USA},
  month = {June 17--22,},
  note = {\btohremove{\textsf{\textbf{GSCC: 1}}}},
  bib2html_pubtype = {Refereed Conferences},
  bib2html_rescat = {Video Surveillance, Visual Motion Segmentation},
  abstract = {We present a novel approach to moving object detection in video taken
	from a translating, rotating and zooming sensor, with a focus on
	detecting very small objects in as few frames as possible. The primary
	innovation is to incorporate automatically computed scene understanding
	of the video directly into the motion segmentation process. Scene
	understanding provides spatial and semantic context that is used
	to improve frame-to-frame homography computation, as well as direct
	reduction of false alarms. The method can be applied to virtually
	any motion segmentation algorithm, and we explore its utility for
	three: frame differencing, tensor voting, and generalized PCA. The
	approach is especially effective on sequences with large scene depth
	and much parallax, as often occurs when the sensor is close to the
	scene. In one difficult sequence, our results show an 8-fold reduction
	of false positives on average, with essentially no impact on the
	true positive rate. We also show how scene understanding can be used
	to increase the accuracy of frame-to-frame homography estimates.},
  doi = {10.1109/CVPRW.2006.132},
  file = {pereraBHD06pocv.pdf:doretto\\conference\\pereraBHD06pocv.pdf:PDF},
  owner = {doretto},
  pdf = {doretto\conference\pereraBHD06pocv.pdf},
  timestamp = {2006.11.29}
}