Abstract | ||
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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 |
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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. Pflugfelder | 1 | 95 | 11.36 |
Horst Bischof | 2 | 8751 | 541.43 |