Object-Based Spatial Segmentation of Video Guided by Depth and Motion Information (bibtex)
@INPROCEEDINGS{CardosoCardosoWMVC2007,
  author = {Jaime S. Cardoso and Jorge C. S. Cardoso and Luis Corte-Real},
  title = {Object-Based Spatial Segmentation of Video Guided by Depth and Motion
	Information},
  booktitle = {Motion and Video Computing, 2007. WMVC '07. IEEE Workshop on},
  year = {2007},
  month = {February},
  abstract = {Automatic spatial video segmentation is a problem without a general
	solution at the current state-of-the-art. Most of the difficulties
	arise from the process of capturing images, which remain a very limited
	sample of the scene they represent. The capture of additional information,
	in the form of depth data, is a step forward to address this problem.
	We start by investigating the use of depth data for better image
	segmentation; a novel segmentation framework is proposed, with depth
	being mainly used to guide a segmentation algorithm on the colour
	information. Then, we extend the method to also incorporate motion
	information in the segmentation process. The effectiveness and simplicity
	of the proposed method is documented with results on a selected set
	of images sequences. The achieved quality raises the expectation
	for a significant improvement on operations relying on spatial video
	segmentation as a pre-process.}
}
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