Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00339473
Contributor : Frédéric Davesne <>
Submitted on : Tuesday, November 18, 2008 - 2:26:05 AM
Last modification on : Tuesday, November 19, 2019 - 2:38:03 AM

Identifiers

Citation

Djamel Merad, Jean-Yves Didier, Mihaela Scuturici. Tracking 3D free form object in video sequence. Third Canadian Conference on Computer and Robot Vision, 2006, Quebec city, Canada. pp.50--50, ⟨10.1109/CRV.2006.79⟩. ⟨hal-00339473⟩

Share

Metrics

Record views

840