Title
Tracking Across Non-Overlapping Views Via Geometry
Abstract
Tracking across non-overlapping camera views is still an unsolved problem. Appearance is a popular cue that does not work when the views are considerably different. This paper proposes tracking in the 3-D space without using appearance. We propose to use the geometry between the two cameras. Linear inhomogeneous triangulation is expanded by a Gaussian random walk model. Tracking is then triangulation followed by a re-projection given the assumption that two persons cannot occupy the same space at the same time. A first experiment with a single person shows the success of this new tracking approach even with a 2 m gap between the fields of view of the cameras.
Year
DOI
Venue
2008
10.1109/ICPR.2008.4761679
19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6
Keywords
Field
DocType
tracking,trajectory,gaussian processes,mathematical model,computational geometry,image reconstruction,field of view
Iterative reconstruction,Computer vision,Random walk,Computer science,Computational geometry,Triangulation (social science),Gaussian,Artificial intelligence,Gaussian process,Geometry,Trajectory
Conference
ISSN
Citations 
PageRank 
1051-4651
8
0.64
References 
Authors
8
2
Name
Order
Citations
PageRank
Roman P. Pflugfelder19511.36
Horst Bischof28751541.43