Title :
Probabilistic Matching Algorithm for Keypoint Based Object Tracking Using a Delaunay Triangulation
Author :
Rémi, Trichet ; Bernard, Mérialdo
Author_Institution :
Eurecom Inst., Sophia-Antipolis
Abstract :
This article presents a matching algorithm developed for a generic object tracking system. Matching is a critical part for the effectiveness of tracking. The proposed method is a probabilistic algorithm inspired from the emerging "discriminative random fields". Points are associated according to their visual similarity and to spatial relations in their neighborhood, based on a Delaunay triangulation. Experimental results are presented to validate this contribution.
Keywords :
image matching; mesh generation; object detection; probability; random processes; target tracking; Delaunay triangulation; discriminative random fields; keypoint based object tracking; probabilistic matching algorithm; spatial relation; visual similarity; Cost function; Image analysis; Image color analysis; Image motion analysis; Image texture analysis; Motion analysis; Sensor phenomena and characterization; TV receivers; Trajectory; Videos;
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2007. WIAMIS '07. Eighth International Workshop on
Conference_Location :
Santorini
Print_ISBN :
0-7695-2818-X
Electronic_ISBN :
0-7695-2818-X
DOI :
10.1109/WIAMIS.2007.69
