Title
Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions
Abstract
Self-occlusion is a common problem in silhouette based motion capture, which often results in ambiguous pose configurations. In most works this is compensated by a priori knowledge about the motion or the scene, or by the use of multiple cameras. Here we suggest to overcome this problem by splitting the surface model of the object and tracking the silhouette of each part rather than the whole object. The splitting can be done automatically by comparing the appearance of the different parts with the Jensen-Shannon divergence. Tracking is then achieved by maximizing the appearance differences of all involved parts and the background simultaneously via gradient descent. We demonstrate the improvements with tracking results from simulated and real world scenes.
Year
DOI
Venue
2008
10.1007/978-3-540-70517-8_11
AMDO
Keywords
Field
DocType
surface model,different part,multiple camera,whole object,real world scene,common problem,internal regions,involved part,gradient descent,motion capture,appearance difference,jensen-shannon divergence,tracking,a priori knowledge,kinematic chain,pose estimation,computer vision,jensen shannon divergence
Computer vision,Motion capture,Gradient descent,Occlusion,Silhouette,Computer science,A priori and a posteriori,Pose,Artificial intelligence,Kinematic chain
Conference
Volume
ISSN
Citations 
5098
0302-9743
4
PageRank 
References 
Authors
0.42
15
6
Name
Order
Citations
PageRank
Christian Schmaltz114610.53
Bodo Rosenhahn21733137.77
Thomas Brox37866327.52
Joachim Weickert45489391.03
Lennart Wietzke516311.40
Gerald Sommer640.42