Label prediction and local segmentation for accurate video object tracking

Guillaume Foret; Pascal Bertolino

doi:10.1117/12.502590

23 June 2003 Label prediction and local segmentation for accurate video object tracking

Guillaume Foret, Pascal Bertolino

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.

Citation Download Citation

Guillaume Foret and Pascal Bertolino "Label prediction and local segmentation for accurate video object tracking", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502590

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