Paper Info
Title
Tracking 3D free form object in video sequence
Abstract
In this paper we describe an original method for the 3D free form object tracking in monocular vision. The main contribution of this article is the use of the skeleton of an object in order to recognize, locate and track this object in real time. Indeed, the use of this kind of representation made it possible to avoid difficulties related to the absence of prominent elements in free form objects (which makes the matching process easier). The skeleton is a lower dimension representation of the object, it is homotopic and it has a graph structure. This allowed us to use powerful tools of the graph theory in order to perform matching between scene objects and models (recognition step). Thereafter, we used skeleton extremities as interest points for the tracking. Keywords: Tracking, 3D free form object, Skeletonization, Graph matching.
Year
DOI
Venue
2006
10.1109/CRV.2006.79
CRV
Keywords
Field
DocType
interest point,free form object,graph structure,scene object,graph theory,free form,lower dimension representation,matching process,skeleton extremity,graph matching,video sequence,monocular vision,computer vision,object tracking,skeleton,real time,automatic control
Graph theory,Deep-sky object,Monocular vision,Computer vision,Method,Pattern recognition,Computer science,Object model,Matching (graph theory),Skeletonization,Video tracking,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
0-7695-2542-3
3
0.42
References 
Authors
18
3
Name
Order
Citations
PageRank
Djamel Merad1697.22
Jean-yves Didier27013.14
Scuturici Mihaela3376.91