23 June 2003 Label prediction and local segmentation for accurate video object tracking
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Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502590
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
This paper presents an approach dedicated to accurately track one or several semantic objects in a video sequence. The accurate tracking of the partition object boundary is obtained by a label prediction. This prediction is performed thanks to motion vectors obtained with two different block-matching uses. In the predicted partition, a local segmentation is necessary only where matching failed and close to the predicted boundaries, in order to get the most accurate boundaries. This local segmentation is then followed by a classification step. During the classification a backward projection is used to assign or not a region to a given object.
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Guillaume Foret, Guillaume Foret, Pascal Bertolino, Pascal Bertolino, } "Label prediction and local segmentation for accurate video object tracking", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502590; https://doi.org/10.1117/12.502590
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