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Multi-person tracking strategies based on voxel analysis

Author
Canton, C.; Salvador, J.; Casas, J.; Pardas, M.
Type of activity
Journal article
Journal
Lecture notes in computer science
Date of publication
2008-06
Volume
4625
First page
91
Last page
103
DOI
https://doi.org/10.1007/978-3-540-68585-2_7 Open in new window
Repository
http://hdl.handle.net/2117/9463 Open in new window
URL
http://dx.doi.org/10.1007/978-3-540-68585-2_7 Open in new window
Abstract
This paper presents two approaches to the problem of simultaneous tracking of several people in low resolution sequences from multiple calibrated cameras. Spatial redundancy is exploited to generate a discrete 3D binary representation of the foreground objects in the scene. Color information obtained from a zenithal camera view is added to this 3D information. The first tracking approach implements heuristic association rules between blobs labelled according to spatiotemporal connectivity criter...
Citation
Canton, C. [et al.]. Multi-person tracking strategies based on voxel analysis. "Lecture notes in computer science", Juny 2008, vol. 4625, p. 91-103.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants