Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/56849
Title: Object matching across multiple non-overlapping fields of view using fuzzy logic
Authors: Loke, Y.R.
Kumar, P.
Ranganath, S. 
Huang, W.-M.
Keywords: Camera topology
CAMShift
Fuzzy logic
Multi-camera tracking
Particle filter
Issue Date: Nov-2006
Source: Loke, Y.R.,Kumar, P.,Ranganath, S.,Huang, W.-M. (2006-11). Object matching across multiple non-overlapping fields of view using fuzzy logic. Zidonghua Xuebao/Acta Automatica Sinica 32 (6) : 978-987. ScholarBank@NUS Repository.
Abstract: An approach based on fuzzy logic for matching both articulated and non-articulated objects across multiple non-overlapping field of views (FoVs) from multiple cameras is proposed. We call it fuzzy logic matching algorithm (FLMA). The approach uses the information of object motion, shape and camera topology for matching objects across camera views. The motion and shape information of targets are obtained by tracking them using a combination of ConDensation and CAMShift tracking algorithms. The information of camera topology is obtained and used by calculating the projective transformation of each view with the common ground plane. The algorithm is suitable for tracking non-rigid objects with both linear and non-linear motion. We show videos of tracking objects across multiple cameras based on FLMA. From our experiments, the system is able to correctly match the targets across views with a high accuracy.
Source Title: Zidonghua Xuebao/Acta Automatica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/56849
ISSN: 02544156
Appears in Collections:Staff Publications

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