Paper Info
Title
Synthetic Aperture Tracking: Tracking through Occlusions
Abstract
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through tran- sient occlusion, but cannot handle significant extended oc- clusion when the object's trajectory may change signifi- cantly. We present a method to track a 3D object through significant occlusion using multiple nearby cameras (e.g., a camera array). When an occluder and object are atdifferent depths, different parts of the object are visible or occluded in each view due to parallax. By aggregating across these views, the method can track even when any individual cam- era observes very little of the target object. Implementation- wise, the methods are straightforward and build upon es- tablished single-camera algorithms. They do not require explicit modeling or reconstruction of the scene and enable tracking in complex, dynamic scenes with moving cameras. Analysis of accuracy and robustness shows that these meth- ods are successful when upwards of 70% of the object is oc- cluded in every camera view. To the best of our knowledge, this system is the first capable of tracking in the presence of such significant occlusion.
Year
DOI
Venue
2007
10.1109/ICCV.2007.4409032
Rio de Janeiro
Keywords
Field
DocType
cameras,image reconstruction,object detection,video signal processing,3D object tracking,occlusions,parallax,scene modeling,scene reconstruction,single-camera algorithms,synthetic aperture tracking:
Iterative reconstruction,Computer vision,Object detection,Parallax,Pattern recognition,Computer science,Synthetic aperture radar,Tracking system,Robustness (computer science),Video tracking,Artificial intelligence,Trajectory
Conference
Volume
Issue
ISSN
2007
1
1550-5499 E-ISBN : 978-1-4244-1631-8
ISBN
Citations 
PageRank 
978-1-4244-1631-8
33
1.19
References 
Authors
21
4
Name
Order
Citations
PageRank
Neel Joshi1115563.95
Shai Avidan23291208.12
Wojciech Matusik34771254.42
David Kriegman47693451.96