Label Prediction and Local Segmentation for Accurate Video Object Tracking

Guillaume Foret (1) , Pascal Bertolino (1)

1 LIS - Laboratoire des images et des signaux

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.

Mots clés: tracking; label prediction; local segmentation; irregular pyramid; block-matching; non-rigid objects

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Guillaume Foret, Pascal Bertolino. Label Prediction and Local Segmentation for Accurate Video Object Tracking. Visual Communications and Image Processing, 2003, Lugano, Switzerland. pp.CD. ⟨hal-00180767⟩